{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/wardg/Dropbox (MIT)/Projects/Loss Aversion Project/ReStat Replication Files/Gallup World Poll/GWPtables.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}30 Apr 2017, 17:38:46
{txt}
{com}. 
. *** Table 4 (cols 1+2) ***
. 
. eststo clear
{txt}
{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb                                                                                                                                                     $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1166517
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      157

{txt}R-sq:  within  = {res}0.0342                         {txt}Obs per group: min = {res}      490
{txt}       between = {res}0.0167                                        {txt}avg = {res}   7430.0
{txt}       overall = {res}0.0292                                        {txt}max = {res}    36772

                                                {txt}F({res}14{txt},{res}967{txt})          = {res}   239.76
{txt}corr(u_i, Xb)  = {res}-0.0024                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:968} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} .5607483{col 37}{space 2} .1681784{col 48}{space 1}    3.33{col 57}{space 3}0.001{col 65}{space 4} .2307115{col 78}{space 3}  .890785
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0198599{col 37}{space 2} .0006651{col 48}{space 1}  -29.86{col 57}{space 3}0.000{col 65}{space 4} -.021165{col 78}{space 3}-.0185548
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001604{col 37}{space 2} 6.47e-06{col 48}{space 1}   24.81{col 57}{space 3}0.000{col 65}{space 4} .0001477{col 78}{space 3} .0001731
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0387061{col 37}{space 2} .0032142{col 48}{space 1}  -12.04{col 57}{space 3}0.000{col 65}{space 4}-.0450137{col 78}{space 3}-.0323985
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1940921{col 37}{space 2} .0075758{col 48}{space 1}   25.62{col 57}{space 3}0.000{col 65}{space 4} .1792253{col 78}{space 3}  .208959
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4123156{col 37}{space 2} .0105465{col 48}{space 1}   39.09{col 57}{space 3}0.000{col 65}{space 4} .3916188{col 78}{space 3} .4330123
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1040292{col 37}{space 2} .0050383{col 48}{space 1}   20.65{col 57}{space 3}0.000{col 65}{space 4} .0941419{col 78}{space 3} .1139165
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0009003{col 37}{space 2}  .023808{col 48}{space 1}   -0.04{col 57}{space 3}0.970{col 65}{space 4}-.0476217{col 78}{space 3}  .045821
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0241481{col 37}{space 2} .0223239{col 48}{space 1}   -1.08{col 57}{space 3}0.280{col 65}{space 4}-.0679569{col 78}{space 3} .0196607
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0146334{col 37}{space 2} .0243436{col 48}{space 1}    0.60{col 57}{space 3}0.548{col 65}{space 4}-.0331391{col 78}{space 3} .0624059
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0021888{col 37}{space 2}  .020287{col 48}{space 1}   -0.11{col 57}{space 3}0.914{col 65}{space 4}-.0420004{col 78}{space 3} .0376229
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0044058{col 37}{space 2} .0203987{col 48}{space 1}    0.22{col 57}{space 3}0.829{col 65}{space 4}-.0356249{col 78}{space 3} .0444365
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0188596{col 37}{space 2} .0205704{col 48}{space 1}   -0.92{col 57}{space 3}0.359{col 65}{space 4}-.0592273{col 78}{space 3} .0215081
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0212775{col 37}{space 2}  .022312{col 48}{space 1}   -0.95{col 57}{space 3}0.341{col 65}{space 4}-.0650631{col 78}{space 3}  .022508
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .2884153{col 37}{space 2} .0252209{col 48}{space 1}   11.44{col 57}{space 3}0.000{col 65}{space 4} .2389213{col 78}{space 3} .3379093
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res}  .4768918
                {txt}sigma_e {c |} {res} .86593343
                    {txt}rho {c |} {res} .23271625{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est1{txt} stored)

{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb_neg gdpgrowth_wb_pos                                                                                                        $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1166517
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      157

{txt}R-sq:  within  = {res}0.0343                         {txt}Obs per group: min = {res}      490
{txt}       between = {res}0.0450                                        {txt}avg = {res}   7430.0
{txt}       overall = {res}0.0329                                        {txt}max = {res}    36772

                                                {txt}F({res}15{txt},{res}967{txt})          = {res}   224.67
{txt}corr(u_i, Xb)  = {res}0.0220                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:968} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-1.353604{col 37}{space 2} .3402272{col 48}{space 1}   -3.98{col 57}{space 3}0.000{col 65}{space 4}-2.021273{col 78}{space 3}-.6859354
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .2326062{col 37}{space 2} .2009222{col 48}{space 1}    1.16{col 57}{space 3}0.247{col 65}{space 4}-.1616876{col 78}{space 3} .6269001
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0198529{col 37}{space 2} .0006646{col 48}{space 1}  -29.87{col 57}{space 3}0.000{col 65}{space 4}-.0211572{col 78}{space 3}-.0185486
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001604{col 37}{space 2} 6.46e-06{col 48}{space 1}   24.83{col 57}{space 3}0.000{col 65}{space 4} .0001477{col 78}{space 3}  .000173
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0386208{col 37}{space 2} .0032151{col 48}{space 1}  -12.01{col 57}{space 3}0.000{col 65}{space 4}-.0449302{col 78}{space 3}-.0323114
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1948075{col 37}{space 2} .0075397{col 48}{space 1}   25.84{col 57}{space 3}0.000{col 65}{space 4} .1800115{col 78}{space 3} .2096035
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4131553{col 37}{space 2} .0105146{col 48}{space 1}   39.29{col 57}{space 3}0.000{col 65}{space 4} .3925212{col 78}{space 3} .4337894
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1038866{col 37}{space 2} .0050337{col 48}{space 1}   20.64{col 57}{space 3}0.000{col 65}{space 4} .0940084{col 78}{space 3} .1137648
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0007011{col 37}{space 2} .0237637{col 48}{space 1}   -0.03{col 57}{space 3}0.976{col 65}{space 4}-.0473356{col 78}{space 3} .0459333
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0277576{col 37}{space 2} .0223325{col 48}{space 1}   -1.24{col 57}{space 3}0.214{col 65}{space 4}-.0715834{col 78}{space 3} .0160681
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0168441{col 37}{space 2} .0241487{col 48}{space 1}    0.70{col 57}{space 3}0.486{col 65}{space 4}-.0305457{col 78}{space 3}  .064234
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0061311{col 37}{space 2} .0202599{col 48}{space 1}   -0.30{col 57}{space 3}0.762{col 65}{space 4}-.0458897{col 78}{space 3} .0336274
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0003431{col 37}{space 2} .0203665{col 48}{space 1}    0.02{col 57}{space 3}0.987{col 65}{space 4}-.0396245{col 78}{space 3} .0403107
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0255055{col 37}{space 2} .0205867{col 48}{space 1}   -1.24{col 57}{space 3}0.216{col 65}{space 4}-.0659053{col 78}{space 3} .0148942
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0284338{col 37}{space 2} .0223884{col 48}{space 1}   -1.27{col 57}{space 3}0.204{col 65}{space 4}-.0723693{col 78}{space 3} .0155017
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .3091701{col 37}{space 2} .0268997{col 48}{space 1}   11.49{col 57}{space 3}0.000{col 65}{space 4} .2563815{col 78}{space 3} .3619586
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .47247477
                {txt}sigma_e {c |} {res} .86585572
                    {txt}rho {c |} {res} .22944143{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est2{txt} stored)

{com}. 
. *** Table 5 ***
. 
. eststo: xtreg std_lifeladder    gdpgrowth_wb    loggdppc                                                                                                                                 $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1166517
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      157

{txt}R-sq:  within  = {res}0.0345                         {txt}Obs per group: min = {res}      490
{txt}       between = {res}0.6903                                        {txt}avg = {res}   7430.0
{txt}       overall = {res}0.1779                                        {txt}max = {res}    36772

                                                {txt}F({res}15{txt},{res}967{txt})          = {res}   226.02
{txt}corr(u_i, Xb)  = {res}-0.3074                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:968} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} .4808935{col 37}{space 2} .1623152{col 48}{space 1}    2.96{col 57}{space 3}0.003{col 65}{space 4} .1623629{col 78}{space 3} .7994241
{txt}{space 15}loggdppc {c |}{col 25}{res}{space 2} .2950698{col 37}{space 2}  .097728{col 48}{space 1}    3.02{col 57}{space 3}0.003{col 65}{space 4} .1032864{col 78}{space 3} .4868532
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2} -.019731{col 37}{space 2} .0006548{col 48}{space 1}  -30.13{col 57}{space 3}0.000{col 65}{space 4} -.021016{col 78}{space 3}-.0184459
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001593{col 37}{space 2} 6.35e-06{col 48}{space 1}   25.11{col 57}{space 3}0.000{col 65}{space 4} .0001469{col 78}{space 3} .0001718
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0386633{col 37}{space 2} .0032212{col 48}{space 1}  -12.00{col 57}{space 3}0.000{col 65}{space 4}-.0449847{col 78}{space 3}-.0323419
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1958744{col 37}{space 2} .0075814{col 48}{space 1}   25.84{col 57}{space 3}0.000{col 65}{space 4} .1809965{col 78}{space 3} .2107524
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4154079{col 37}{space 2} .0105454{col 48}{space 1}   39.39{col 57}{space 3}0.000{col 65}{space 4} .3947135{col 78}{space 3} .4361024
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1015763{col 37}{space 2} .0050324{col 48}{space 1}   20.18{col 57}{space 3}0.000{col 65}{space 4} .0917006{col 78}{space 3}  .111452
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0114611{col 37}{space 2} .0242962{col 48}{space 1}   -0.47{col 57}{space 3}0.637{col 65}{space 4}-.0591404{col 78}{space 3} .0362183
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0450432{col 37}{space 2} .0234088{col 48}{space 1}   -1.92{col 57}{space 3}0.055{col 65}{space 4}-.0909811{col 78}{space 3} .0008948
{txt}{space 21}4  {c |}{col 25}{res}{space 2} -.008168{col 37}{space 2} .0248974{col 48}{space 1}   -0.33{col 57}{space 3}0.743{col 65}{space 4}-.0570272{col 78}{space 3} .0406912
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0315977{col 37}{space 2} .0220817{col 48}{space 1}   -1.43{col 57}{space 3}0.153{col 65}{space 4}-.0749312{col 78}{space 3} .0117359
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0332597{col 37}{space 2} .0231662{col 48}{space 1}   -1.44{col 57}{space 3}0.151{col 65}{space 4}-.0787215{col 78}{space 3} .0122022
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0652917{col 37}{space 2}  .023818{col 48}{space 1}   -2.74{col 57}{space 3}0.006{col 65}{space 4}-.1120327{col 78}{space 3}-.0185508
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0740552{col 37}{space 2} .0273234{col 48}{space 1}   -2.71{col 57}{space 3}0.007{col 65}{space 4}-.1276751{col 78}{space 3}-.0204352
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2}-2.114175{col 37}{space 2} .7952534{col 48}{space 1}   -2.66{col 57}{space 3}0.008{col 65}{space 4}-3.674796{col 78}{space 3}-.5535536
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .28219358
                {txt}sigma_e {c |} {res} .86576392
                    {txt}rho {c |} {res} .09603847{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est3{txt} stored)

{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb_neg gdpgrowth_wb_pos       loggdppc                                                                                 $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1166517
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      157

{txt}R-sq:  within  = {res}0.0347                         {txt}Obs per group: min = {res}      490
{txt}       between = {res}0.6955                                        {txt}avg = {res}   7430.0
{txt}       overall = {res}0.1788                                        {txt}max = {res}    36772

                                                {txt}F({res}16{txt},{res}967{txt})          = {res}   212.91
{txt}corr(u_i, Xb)  = {res}-0.2156                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:968} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-1.158516{col 37}{space 2} .3248004{col 48}{space 1}   -3.57{col 57}{space 3}0.000{col 65}{space 4}-1.795911{col 78}{space 3}-.5211214
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .2075715{col 37}{space 2} .2013127{col 48}{space 1}    1.03{col 57}{space 3}0.303{col 65}{space 4}-.1874887{col 78}{space 3} .6026316
{txt}{space 15}loggdppc {c |}{col 25}{res}{space 2} .2764412{col 37}{space 2} .0964816{col 48}{space 1}    2.87{col 57}{space 3}0.004{col 65}{space 4} .0871038{col 78}{space 3} .4657786
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0197332{col 37}{space 2} .0006552{col 48}{space 1}  -30.12{col 57}{space 3}0.000{col 65}{space 4}-.0210189{col 78}{space 3}-.0184474
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001594{col 37}{space 2} 6.35e-06{col 48}{space 1}   25.11{col 57}{space 3}0.000{col 65}{space 4} .0001469{col 78}{space 3} .0001718
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0385936{col 37}{space 2} .0032218{col 48}{space 1}  -11.98{col 57}{space 3}0.000{col 65}{space 4}-.0449162{col 78}{space 3}-.0322711
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1963688{col 37}{space 2} .0075522{col 48}{space 1}   26.00{col 57}{space 3}0.000{col 65}{space 4} .1815482{col 78}{space 3} .2111894
{txt}controls_education_high {c |}{col 25}{res}{space 2}  .415925{col 37}{space 2} .0105201{col 48}{space 1}   39.54{col 57}{space 3}0.000{col 65}{space 4} .3952801{col 78}{space 3} .4365699
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1016102{col 37}{space 2} .0050369{col 48}{space 1}   20.17{col 57}{space 3}0.000{col 65}{space 4} .0917257{col 78}{space 3} .1114948
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0106254{col 37}{space 2} .0242746{col 48}{space 1}   -0.44{col 57}{space 3}0.662{col 65}{space 4}-.0582623{col 78}{space 3} .0370115
{txt}{space 21}3  {c |}{col 25}{res}{space 2} -.046786{col 37}{space 2} .0232953{col 48}{space 1}   -2.01{col 57}{space 3}0.045{col 65}{space 4}-.0925012{col 78}{space 3}-.0010707
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0048532{col 37}{space 2} .0248431{col 48}{space 1}   -0.20{col 57}{space 3}0.845{col 65}{space 4}-.0536057{col 78}{space 3} .0438994
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0330853{col 37}{space 2} .0218899{col 48}{space 1}   -1.51{col 57}{space 3}0.131{col 65}{space 4}-.0760424{col 78}{space 3} .0098718
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0343281{col 37}{space 2} .0229428{col 48}{space 1}   -1.50{col 57}{space 3}0.135{col 65}{space 4}-.0793517{col 78}{space 3} .0106954
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0679981{col 37}{space 2} .0236061{col 48}{space 1}   -2.88{col 57}{space 3}0.004{col 65}{space 4}-.1143231{col 78}{space 3}-.0216731
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0767938{col 37}{space 2} .0271362{col 48}{space 1}   -2.83{col 57}{space 3}0.005{col 65}{space 4}-.1300465{col 78}{space 3}-.0235412
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2}-1.944886{col 37}{space 2} .7858279{col 48}{space 1}   -2.47{col 57}{space 3}0.013{col 65}{space 4}-3.487011{col 78}{space 3}-.4027614
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .27179275
                {txt}sigma_e {c |} {res} .86570878
                    {txt}rho {c |} {res} .08972335{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est4{txt} stored)

{com}. 
. eststo: xtreg std_lifeladder    gdpgrowth_wb    unemployment_rate                                                                                                                $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1158490
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      156

{txt}R-sq:  within  = {res}0.0352                         {txt}Obs per group: min = {res}      490
{txt}       between = {res}0.0429                                        {txt}avg = {res}   7426.2
{txt}       overall = {res}0.0368                                        {txt}max = {res}    36772

                                                {txt}F({res}15{txt},{res}960{txt})          = {res}   228.72
{txt}corr(u_i, Xb)  = {res}-0.0253                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:961} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} .4647645{col 37}{space 2}  .165127{col 48}{space 1}    2.81{col 57}{space 3}0.005{col 65}{space 4}  .140713{col 78}{space 3} .7888159
{txt}{space 6}unemployment_rate {c |}{col 25}{res}{space 2} -1.82914{col 37}{space 2} .2980684{col 48}{space 1}   -6.14{col 57}{space 3}0.000{col 65}{space 4}-2.414081{col 78}{space 3}-1.244199
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2} -.019874{col 37}{space 2}  .000667{col 48}{space 1}  -29.80{col 57}{space 3}0.000{col 65}{space 4}-.0211829{col 78}{space 3} -.018565
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001605{col 37}{space 2} 6.49e-06{col 48}{space 1}   24.74{col 57}{space 3}0.000{col 65}{space 4} .0001478{col 78}{space 3} .0001733
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0386351{col 37}{space 2} .0032222{col 48}{space 1}  -11.99{col 57}{space 3}0.000{col 65}{space 4}-.0449584{col 78}{space 3}-.0323118
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1951425{col 37}{space 2} .0075774{col 48}{space 1}   25.75{col 57}{space 3}0.000{col 65}{space 4} .1802724{col 78}{space 3} .2100126
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4139637{col 37}{space 2} .0105462{col 48}{space 1}   39.25{col 57}{space 3}0.000{col 65}{space 4} .3932675{col 78}{space 3}   .43466
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1043818{col 37}{space 2} .0050745{col 48}{space 1}   20.57{col 57}{space 3}0.000{col 65}{space 4} .0944234{col 78}{space 3} .1143403
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0101803{col 37}{space 2} .0235554{col 48}{space 1}   -0.43{col 57}{space 3}0.666{col 65}{space 4}-.0564063{col 78}{space 3} .0360456
{txt}{space 21}3  {c |}{col 25}{res}{space 2} -.034473{col 37}{space 2} .0222871{col 48}{space 1}   -1.55{col 57}{space 3}0.122{col 65}{space 4}  -.07821{col 78}{space 3}  .009264
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0124227{col 37}{space 2} .0239877{col 48}{space 1}    0.52{col 57}{space 3}0.605{col 65}{space 4}-.0346517{col 78}{space 3} .0594972
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0004833{col 37}{space 2} .0202164{col 48}{space 1}   -0.02{col 57}{space 3}0.981{col 65}{space 4}-.0401567{col 78}{space 3} .0391901
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0086079{col 37}{space 2} .0202197{col 48}{space 1}    0.43{col 57}{space 3}0.670{col 65}{space 4}-.0310721{col 78}{space 3} .0482878
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0186588{col 37}{space 2} .0202985{col 48}{space 1}   -0.92{col 57}{space 3}0.358{col 65}{space 4}-.0584933{col 78}{space 3} .0211757
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0214644{col 37}{space 2} .0216452{col 48}{space 1}   -0.99{col 57}{space 3}0.322{col 65}{space 4}-.0639417{col 78}{space 3} .0210129
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .4470797{col 37}{space 2} .0352539{col 48}{space 1}   12.68{col 57}{space 3}0.000{col 65}{space 4} .3778961{col 78}{space 3} .5162632
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .47219024
                {txt}sigma_e {c |} {res}  .8654834
                    {txt}rho {c |} {res} .22938051{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est5{txt} stored)

{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb_neg gdpgrowth_wb_pos       unemployment_rate                                                                $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1158490
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      156

{txt}R-sq:  within  = {res}0.0353                         {txt}Obs per group: min = {res}      490
{txt}       between = {res}0.0527                                        {txt}avg = {res}   7426.2
{txt}       overall = {res}0.0395                                        {txt}max = {res}    36772

                                                {txt}F({res}16{txt},{res}960{txt})          = {res}   215.10
{txt}corr(u_i, Xb)  = {res}-0.0050                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:961} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-1.081637{col 37}{space 2} .3516429{col 48}{space 1}   -3.08{col 57}{space 3}0.002{col 65}{space 4}-1.771714{col 78}{space 3}-.3915592
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .2141867{col 37}{space 2} .1970454{col 48}{space 1}    1.09{col 57}{space 3}0.277{col 65}{space 4}-.1725027{col 78}{space 3} .6008761
{txt}{space 6}unemployment_rate {c |}{col 25}{res}{space 2}-1.766573{col 37}{space 2} .2984608{col 48}{space 1}   -5.92{col 57}{space 3}0.000{col 65}{space 4}-2.352284{col 78}{space 3}-1.180862
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0198707{col 37}{space 2} .0006667{col 48}{space 1}  -29.80{col 57}{space 3}0.000{col 65}{space 4}-.0211791{col 78}{space 3}-.0185623
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001605{col 37}{space 2} 6.48e-06{col 48}{space 1}   24.76{col 57}{space 3}0.000{col 65}{space 4} .0001478{col 78}{space 3} .0001733
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0385703{col 37}{space 2} .0032228{col 48}{space 1}  -11.97{col 57}{space 3}0.000{col 65}{space 4}-.0448949{col 78}{space 3}-.0322458
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1956468{col 37}{space 2} .0075496{col 48}{space 1}   25.91{col 57}{space 3}0.000{col 65}{space 4} .1808312{col 78}{space 3} .2104623
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4145546{col 37}{space 2} .0105191{col 48}{space 1}   39.41{col 57}{space 3}0.000{col 65}{space 4} .3939115{col 78}{space 3} .4351977
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1042802{col 37}{space 2} .0050703{col 48}{space 1}   20.57{col 57}{space 3}0.000{col 65}{space 4}   .09433{col 78}{space 3} .1142304
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0097128{col 37}{space 2} .0235522{col 48}{space 1}   -0.41{col 57}{space 3}0.680{col 65}{space 4}-.0559325{col 78}{space 3} .0365069
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0369689{col 37}{space 2} .0222844{col 48}{space 1}   -1.66{col 57}{space 3}0.097{col 65}{space 4}-.0807007{col 78}{space 3} .0067628
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0142697{col 37}{space 2} .0238941{col 48}{space 1}    0.60{col 57}{space 3}0.551{col 65}{space 4}-.0326211{col 78}{space 3} .0611605
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0036005{col 37}{space 2} .0201893{col 48}{space 1}   -0.18{col 57}{space 3}0.858{col 65}{space 4}-.0432208{col 78}{space 3} .0360198
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0053989{col 37}{space 2} .0201899{col 48}{space 1}    0.27{col 57}{space 3}0.789{col 65}{space 4}-.0342225{col 78}{space 3} .0450203
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0238027{col 37}{space 2} .0203032{col 48}{space 1}   -1.17{col 57}{space 3}0.241{col 65}{space 4}-.0636464{col 78}{space 3} .0160411
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0271004{col 37}{space 2} .0216923{col 48}{space 1}   -1.25{col 57}{space 3}0.212{col 65}{space 4}-.0696702{col 78}{space 3} .0154695
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .4578316{col 37}{space 2} .0354478{col 48}{space 1}   12.92{col 57}{space 3}0.000{col 65}{space 4} .3882674{col 78}{space 3} .5273958
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .46915849
                {txt}sigma_e {c |} {res} .86543719
                    {txt}rho {c |} {res}    .22713{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est6{txt} stored)

{com}. 
. eststo: xtreg std_lifeladder    gdpgrowth_wb    inflation_rate                                                                                                                   $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1158549
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      156

{txt}R-sq:  within  = {res}0.0342                         {txt}Obs per group: min = {res}      490
{txt}       between = {res}0.0368                                        {txt}avg = {res}   7426.6
{txt}       overall = {res}0.0335                                        {txt}max = {res}    36772

                                                {txt}F({res}15{txt},{res}962{txt})          = {res}   221.01
{txt}corr(u_i, Xb)  = {res}0.0245                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:963} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} .5170545{col 37}{space 2} .1673753{col 48}{space 1}    3.09{col 57}{space 3}0.002{col 65}{space 4} .1885916{col 78}{space 3} .8455175
{txt}{space 9}inflation_rate {c |}{col 25}{res}{space 2}-.2041433{col 37}{space 2} .1433283{col 48}{space 1}   -1.42{col 57}{space 3}0.155{col 65}{space 4}-.4854156{col 78}{space 3} .0771289
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0198075{col 37}{space 2} .0006672{col 48}{space 1}  -29.69{col 57}{space 3}0.000{col 65}{space 4}-.0211168{col 78}{space 3}-.0184982
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001598{col 37}{space 2} 6.48e-06{col 48}{space 1}   24.66{col 57}{space 3}0.000{col 65}{space 4} .0001471{col 78}{space 3} .0001725
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0379377{col 37}{space 2} .0032059{col 48}{space 1}  -11.83{col 57}{space 3}0.000{col 65}{space 4} -.044229{col 78}{space 3}-.0316463
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1937064{col 37}{space 2} .0075937{col 48}{space 1}   25.51{col 57}{space 3}0.000{col 65}{space 4} .1788042{col 78}{space 3} .2086085
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4114544{col 37}{space 2} .0105856{col 48}{space 1}   38.87{col 57}{space 3}0.000{col 65}{space 4} .3906809{col 78}{space 3}  .432228
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1042084{col 37}{space 2} .0050585{col 48}{space 1}   20.60{col 57}{space 3}0.000{col 65}{space 4} .0942815{col 78}{space 3} .1141353
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0030897{col 37}{space 2} .0237309{col 48}{space 1}   -0.13{col 57}{space 3}0.896{col 65}{space 4}-.0496601{col 78}{space 3} .0434806
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0136004{col 37}{space 2} .0227502{col 48}{space 1}   -0.60{col 57}{space 3}0.550{col 65}{space 4}-.0582461{col 78}{space 3} .0310453
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0096918{col 37}{space 2} .0245982{col 48}{space 1}    0.39{col 57}{space 3}0.694{col 65}{space 4}-.0385805{col 78}{space 3} .0579641
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0058402{col 37}{space 2} .0203645{col 48}{space 1}   -0.29{col 57}{space 3}0.774{col 65}{space 4}-.0458043{col 78}{space 3} .0341238
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0048313{col 37}{space 2} .0202698{col 48}{space 1}    0.24{col 57}{space 3}0.812{col 65}{space 4}-.0349467{col 78}{space 3} .0446093
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0200568{col 37}{space 2} .0205573{col 48}{space 1}   -0.98{col 57}{space 3}0.329{col 65}{space 4} -.060399{col 78}{space 3} .0202855
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0265174{col 37}{space 2} .0224817{col 48}{space 1}   -1.18{col 57}{space 3}0.238{col 65}{space 4}-.0706363{col 78}{space 3} .0176015
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .3046179{col 37}{space 2} .0281634{col 48}{space 1}   10.82{col 57}{space 3}0.000{col 65}{space 4}  .249349{col 78}{space 3} .3598868
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .47468005
                {txt}sigma_e {c |} {res} .86536926
                    {txt}rho {c |} {res} .23129193{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est7{txt} stored)

{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb_neg gdpgrowth_wb_pos       inflation_rate                                                                   $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1158549
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      156

{txt}R-sq:  within  = {res}0.0343                         {txt}Obs per group: min = {res}      490
{txt}       between = {res}0.0644                                        {txt}avg = {res}   7426.6
{txt}       overall = {res}0.0357                                        {txt}max = {res}    36772

                                                {txt}F({res}16{txt},{res}962{txt})          = {res}   208.07
{txt}corr(u_i, Xb)  = {res}0.0386                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:963} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-1.136146{col 37}{space 2} .3219568{col 48}{space 1}   -3.53{col 57}{space 3}0.000{col 65}{space 4}-1.767965{col 78}{space 3}-.5043271
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .2741528{col 37}{space 2} .2003395{col 48}{space 1}    1.37{col 57}{space 3}0.171{col 65}{space 4}    -.119{col 78}{space 3} .6673055
{txt}{space 9}inflation_rate {c |}{col 25}{res}{space 2}-.1679189{col 37}{space 2} .1403162{col 48}{space 1}   -1.20{col 57}{space 3}0.232{col 65}{space 4}-.4432801{col 78}{space 3} .1074424
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0198014{col 37}{space 2} .0006669{col 48}{space 1}  -29.69{col 57}{space 3}0.000{col 65}{space 4}-.0211101{col 78}{space 3}-.0184928
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001598{col 37}{space 2} 6.48e-06{col 48}{space 1}   24.67{col 57}{space 3}0.000{col 65}{space 4} .0001471{col 78}{space 3} .0001725
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0378797{col 37}{space 2} .0032072{col 48}{space 1}  -11.81{col 57}{space 3}0.000{col 65}{space 4}-.0441735{col 78}{space 3}-.0315858
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1942727{col 37}{space 2} .0075622{col 48}{space 1}   25.69{col 57}{space 3}0.000{col 65}{space 4} .1794323{col 78}{space 3}  .209113
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4121103{col 37}{space 2} .0105552{col 48}{space 1}   39.04{col 57}{space 3}0.000{col 65}{space 4} .3913964{col 78}{space 3} .4328242
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1040912{col 37}{space 2} .0050549{col 48}{space 1}   20.59{col 57}{space 3}0.000{col 65}{space 4} .0941712{col 78}{space 3} .1140112
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0025324{col 37}{space 2} .0236625{col 48}{space 1}   -0.11{col 57}{space 3}0.915{col 65}{space 4}-.0489685{col 78}{space 3} .0439038
{txt}{space 21}3  {c |}{col 25}{res}{space 2} -.018176{col 37}{space 2} .0228753{col 48}{space 1}   -0.79{col 57}{space 3}0.427{col 65}{space 4}-.0630672{col 78}{space 3} .0267153
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0123883{col 37}{space 2} .0246231{col 48}{space 1}    0.50{col 57}{space 3}0.615{col 65}{space 4} -.035933{col 78}{space 3} .0607095
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0080506{col 37}{space 2} .0203306{col 48}{space 1}   -0.40{col 57}{space 3}0.692{col 65}{space 4}-.0479481{col 78}{space 3} .0318469
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0017292{col 37}{space 2} .0203112{col 48}{space 1}    0.09{col 57}{space 3}0.932{col 65}{space 4}-.0381301{col 78}{space 3} .0415885
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0249207{col 37}{space 2}  .020621{col 48}{space 1}   -1.21{col 57}{space 3}0.227{col 65}{space 4}-.0653881{col 78}{space 3} .0155467
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0312747{col 37}{space 2}  .022528{col 48}{space 1}   -1.39{col 57}{space 3}0.165{col 65}{space 4}-.0754843{col 78}{space 3}  .012935
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .3177101{col 37}{space 2} .0287678{col 48}{space 1}   11.04{col 57}{space 3}0.000{col 65}{space 4} .2612552{col 78}{space 3} .3741651
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .47196519
                {txt}sigma_e {c |} {res} .86532646
                    {txt}rho {c |} {res} .22927611{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est8{txt} stored)

{com}. 
. eststo: xtreg std_lifeladder    gdpgrowth_wb    loggdppc inflation_rate unemployment_rate                                                                $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1150522
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      155

{txt}R-sq:  within  = {res}0.0353                         {txt}Obs per group: min = {res}      490
{txt}       between = {res}0.6442                                        {txt}avg = {res}   7422.7
{txt}       overall = {res}0.1645                                        {txt}max = {res}    36772

                                                {txt}F({res}17{txt},{res}955{txt})          = {res}   200.62
{txt}corr(u_i, Xb)  = {res}0.3798                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:956} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} .3937734{col 37}{space 2} .1676604{col 48}{space 1}    2.35{col 57}{space 3}0.019{col 65}{space 4} .0647481{col 78}{space 3} .7227988
{txt}{space 15}loggdppc {c |}{col 25}{res}{space 2} .1240227{col 37}{space 2} .1002727{col 48}{space 1}    1.24{col 57}{space 3}0.216{col 65}{space 4}-.0727575{col 78}{space 3}  .320803
{txt}{space 9}inflation_rate {c |}{col 25}{res}{space 2}-.2172896{col 37}{space 2} .1466114{col 48}{space 1}   -1.48{col 57}{space 3}0.139{col 65}{space 4}-.5050073{col 78}{space 3}  .070428
{txt}{space 6}unemployment_rate {c |}{col 25}{res}{space 2}-1.652533{col 37}{space 2}  .333186{col 48}{space 1}   -4.96{col 57}{space 3}0.000{col 65}{space 4}-2.306394{col 78}{space 3}-.9986716
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0197708{col 37}{space 2} .0006598{col 48}{space 1}  -29.97{col 57}{space 3}0.000{col 65}{space 4}-.0210656{col 78}{space 3} -.018476
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001595{col 37}{space 2} 6.41e-06{col 48}{space 1}   24.89{col 57}{space 3}0.000{col 65}{space 4} .0001469{col 78}{space 3} .0001721
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2} -.037868{col 37}{space 2} .0032182{col 48}{space 1}  -11.77{col 57}{space 3}0.000{col 65}{space 4}-.0441836{col 78}{space 3}-.0315524
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1954544{col 37}{space 2} .0075917{col 48}{space 1}   25.75{col 57}{space 3}0.000{col 65}{space 4} .1805561{col 78}{space 3} .2103527
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4143148{col 37}{space 2} .0105822{col 48}{space 1}   39.15{col 57}{space 3}0.000{col 65}{space 4} .3935478{col 78}{space 3} .4350817
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1035621{col 37}{space 2} .0050354{col 48}{space 1}   20.57{col 57}{space 3}0.000{col 65}{space 4} .0936804{col 78}{space 3} .1134439
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0161292{col 37}{space 2} .0234472{col 48}{space 1}   -0.69{col 57}{space 3}0.492{col 65}{space 4}-.0621431{col 78}{space 3} .0298847
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0312197{col 37}{space 2} .0229403{col 48}{space 1}   -1.36{col 57}{space 3}0.174{col 65}{space 4}-.0762389{col 78}{space 3} .0137994
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0023458{col 37}{space 2} .0250692{col 48}{space 1}   -0.09{col 57}{space 3}0.925{col 65}{space 4} -.051543{col 78}{space 3} .0468513
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0167113{col 37}{space 2} .0215463{col 48}{space 1}   -0.78{col 57}{space 3}0.438{col 65}{space 4}-.0589949{col 78}{space 3} .0255723
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0063275{col 37}{space 2} .0224951{col 48}{space 1}   -0.28{col 57}{space 3}0.779{col 65}{space 4} -.050473{col 78}{space 3}  .037818
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0392882{col 37}{space 2} .0226968{col 48}{space 1}   -1.73{col 57}{space 3}0.084{col 65}{space 4}-.0838295{col 78}{space 3} .0052531
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0491979{col 37}{space 2} .0263059{col 48}{space 1}   -1.87{col 57}{space 3}0.062{col 65}{space 4} -.100822{col 78}{space 3} .0024263
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2}-.5637313{col 37}{space 2} .8312461{col 48}{space 1}   -0.68{col 57}{space 3}0.498{col 65}{space 4}-2.195011{col 78}{space 3} 1.067548
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .32225398
                {txt}sigma_e {c |} {res} .86487934
                    {txt}rho {c |} {res} .12190636{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est9{txt} stored)

{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb_neg gdpgrowth_wb_pos       loggdppc unemployment_rate inflation_rate                $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1150522
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      155

{txt}R-sq:  within  = {res}0.0354                         {txt}Obs per group: min = {res}      490
{txt}       between = {res}0.6430                                        {txt}avg = {res}   7422.7
{txt}       overall = {res}0.1624                                        {txt}max = {res}    36772

                                                {txt}F({res}18{txt},{res}955{txt})          = {res}   190.36
{txt}corr(u_i, Xb)  = {res}0.3923                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:956} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-.7759981{col 37}{space 2} .3232779{col 48}{space 1}   -2.40{col 57}{space 3}0.017{col 65}{space 4}-1.410415{col 78}{space 3} -.141581
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .2486822{col 37}{space 2} .1987367{col 48}{space 1}    1.25{col 57}{space 3}0.211{col 65}{space 4}-.1413289{col 78}{space 3} .6386932
{txt}{space 15}loggdppc {c |}{col 25}{res}{space 2} .1165436{col 37}{space 2} .0998333{col 48}{space 1}    1.17{col 57}{space 3}0.243{col 65}{space 4}-.0793745{col 78}{space 3} .3124617
{txt}{space 6}unemployment_rate {c |}{col 25}{res}{space 2}-1.624997{col 37}{space 2} .3331794{col 48}{space 1}   -4.88{col 57}{space 3}0.000{col 65}{space 4}-2.278846{col 78}{space 3}-.9711493
{txt}{space 9}inflation_rate {c |}{col 25}{res}{space 2}-.1949351{col 37}{space 2} .1472594{col 48}{space 1}   -1.32{col 57}{space 3}0.186{col 65}{space 4}-.4839245{col 78}{space 3} .0940543
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0197714{col 37}{space 2}   .00066{col 48}{space 1}  -29.96{col 57}{space 3}0.000{col 65}{space 4}-.0210666{col 78}{space 3}-.0184762
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001595{col 37}{space 2} 6.41e-06{col 48}{space 1}   24.88{col 57}{space 3}0.000{col 65}{space 4}  .000147{col 78}{space 3} .0001721
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0378334{col 37}{space 2} .0032187{col 48}{space 1}  -11.75{col 57}{space 3}0.000{col 65}{space 4}-.0441499{col 78}{space 3}-.0315168
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1957329{col 37}{space 2} .0075704{col 48}{space 1}   25.85{col 57}{space 3}0.000{col 65}{space 4} .1808763{col 78}{space 3} .2105895
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4146105{col 37}{space 2} .0105601{col 48}{space 1}   39.26{col 57}{space 3}0.000{col 65}{space 4} .3938868{col 78}{space 3} .4353342
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1035564{col 37}{space 2} .0050378{col 48}{space 1}   20.56{col 57}{space 3}0.000{col 65}{space 4}   .09367{col 78}{space 3} .1134427
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0153785{col 37}{space 2} .0234115{col 48}{space 1}   -0.66{col 57}{space 3}0.511{col 65}{space 4}-.0613225{col 78}{space 3} .0305654
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0333688{col 37}{space 2} .0230243{col 48}{space 1}   -1.45{col 57}{space 3}0.148{col 65}{space 4}-.0785528{col 78}{space 3} .0118153
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0000474{col 37}{space 2} .0252195{col 48}{space 1}   -0.00{col 57}{space 3}0.999{col 65}{space 4}-.0495394{col 78}{space 3} .0494446
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0173461{col 37}{space 2} .0214622{col 48}{space 1}   -0.81{col 57}{space 3}0.419{col 65}{space 4}-.0594647{col 78}{space 3} .0247724
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0073077{col 37}{space 2} .0224264{col 48}{space 1}   -0.33{col 57}{space 3}0.745{col 65}{space 4}-.0513184{col 78}{space 3}  .036703
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0410926{col 37}{space 2} .0226452{col 48}{space 1}   -1.81{col 57}{space 3}0.070{col 65}{space 4}-.0855327{col 78}{space 3} .0033475
{txt}{space 21}8  {c |}{col 25}{res}{space 2} -.050817{col 37}{space 2}  .026207{col 48}{space 1}   -1.94{col 57}{space 3}0.053{col 65}{space 4} -.102247{col 78}{space 3} .0006129
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2}-.4970509{col 37}{space 2} .8277584{col 48}{space 1}   -0.60{col 57}{space 3}0.548{col 65}{space 4}-2.121486{col 78}{space 3} 1.127384
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .32788039
                {txt}sigma_e {c |} {res} .86486374
                    {txt}rho {c |} {res} .12566476{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est10{txt} stored)

{com}. esttab using "gwp_restat_tab5.csv", replace b(3) se(3) r2(3) star(* 0.1 ** 0.05 *** 0.01) scalars("r2_w Within-R2 " "N_g Countries" "N_clust Country-Years")  sfmt(%12.3f %12.0f %12.0f) ///
>  noconstant label order(gdpgrowth_wb gdpgrowth_wb_neg gdpgrowth_wb_pos  loggdppc unemployment_rate inflation_rate)
{res}{txt}(note: file gwp_restat_tab5.csv not found)
(output written to {browse  `"gwp_restat_tab5.csv"'})

{com}. 
. 
. 
. 
. *** Table 8 ***
. eststo clear
{txt}
{com}. foreach var of varlist          happy_yesterday enjoyment_yesterday {c -(}
{txt}  2{com}. eststo: xtreg `var'     gdpgrowth_wb                                                                                                                                                     $dem i. waveround, fe cluster(countryyear)  nonest
{txt}  3{com}. eststo: xtreg `var'     gdpgrowth_wb_neg gdpgrowth_wb_pos                                                                                                        $dem i. waveround, fe cluster(countryyear)  nonest
{txt}  4{com}. eststo: xtreg `var'     gdpgrowth_wb                                                            loggdppc unemployment_rate inflation_rate        $dem i. waveround, fe cluster(countryyear)  nonest
{txt}  5{com}. eststo: xtreg `var'     gdpgrowth_wb_neg gdpgrowth_wb_pos               loggdppc unemployment_rate inflation_rate        $dem i. waveround, fe cluster(countryyear)  nonest
{txt}  6{com}. {c )-}

{txt}Fixed-effects (within) regression               Number of obs      = {res}   806864
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      151

{txt}R-sq:  within  = {res}0.0170                         {txt}Obs per group: min = {res}      504
{txt}       between = {res}0.0014                                        {txt}avg = {res}   5343.5
{txt}       overall = {res}0.0101                                        {txt}max = {res}    27148

                                                {txt}F({res}11{txt},{res}624{txt})          = {res}   142.98
{txt}corr(u_i, Xb)  = {res}-0.1013                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:625} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}        happy_yesterday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2}  .157644{col 37}{space 2} .0554134{col 48}{space 1}    2.84{col 57}{space 3}0.005{col 65}{space 4} .0488247{col 78}{space 3} .2664633
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0087463{col 37}{space 2} .0002752{col 48}{space 1}  -31.78{col 57}{space 3}0.000{col 65}{space 4}-.0092867{col 78}{space 3} -.008206
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000656{col 37}{space 2} 2.50e-06{col 48}{space 1}   26.25{col 57}{space 3}0.000{col 65}{space 4} .0000607{col 78}{space 3} .0000705
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0067378{col 37}{space 2}  .001656{col 48}{space 1}   -4.07{col 57}{space 3}0.000{col 65}{space 4}-.0099897{col 78}{space 3}-.0034858
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2}  .052501{col 37}{space 2} .0029281{col 48}{space 1}   17.93{col 57}{space 3}0.000{col 65}{space 4} .0467508{col 78}{space 3} .0582512
{txt}controls_education_high {c |}{col 25}{res}{space 2} .0830298{col 37}{space 2}   .00427{col 48}{space 1}   19.44{col 57}{space 3}0.000{col 65}{space 4} .0746445{col 78}{space 3} .0914152
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0558043{col 37}{space 2} .0023753{col 48}{space 1}   23.49{col 57}{space 3}0.000{col 65}{space 4} .0511398{col 78}{space 3} .0604689
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}4  {c |}{col 25}{res}{space 2} .0223948{col 37}{space 2} .0069739{col 48}{space 1}    3.21{col 57}{space 3}0.001{col 65}{space 4} .0086996{col 78}{space 3} .0360901
{txt}{space 21}5  {c |}{col 25}{res}{space 2} .0282602{col 37}{space 2} .0065604{col 48}{space 1}    4.31{col 57}{space 3}0.000{col 65}{space 4} .0153771{col 78}{space 3} .0411432
{txt}{space 21}6  {c |}{col 25}{res}{space 2}  .016298{col 37}{space 2} .0061003{col 48}{space 1}    2.67{col 57}{space 3}0.008{col 65}{space 4} .0043183{col 78}{space 3} .0282776
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0191595{col 37}{space 2}   .00641{col 48}{space 1}    2.99{col 57}{space 3}0.003{col 65}{space 4} .0065717{col 78}{space 3} .0317472
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .8250672{col 37}{space 2} .0081485{col 48}{space 1}  101.25{col 57}{space 3}0.000{col 65}{space 4} .8090654{col 78}{space 3} .8410691
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .14240238
                {txt}sigma_e {c |} {res} .43921902
                    {txt}rho {c |} {res} .09511829{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est1{txt} stored)

Fixed-effects (within) regression               Number of obs      = {res}   806864
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      151

{txt}R-sq:  within  = {res}0.0170                         {txt}Obs per group: min = {res}      504
{txt}       between = {res}0.0011                                        {txt}avg = {res}   5343.5
{txt}       overall = {res}0.0104                                        {txt}max = {res}    27148

                                                {txt}F({res}12{txt},{res}624{txt})          = {res}   134.27
{txt}corr(u_i, Xb)  = {res}-0.0951                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:625} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}        happy_yesterday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-.2225704{col 37}{space 2} .0835356{col 48}{space 1}   -2.66{col 57}{space 3}0.008{col 65}{space 4}-.3866154{col 78}{space 3}-.0585254
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .1194959{col 37}{space 2} .0859358{col 48}{space 1}    1.39{col 57}{space 3}0.165{col 65}{space 4}-.0492625{col 78}{space 3} .2882542
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2} -.008746{col 37}{space 2} .0002753{col 48}{space 1}  -31.77{col 57}{space 3}0.000{col 65}{space 4}-.0092867{col 78}{space 3}-.0082054
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000656{col 37}{space 2} 2.50e-06{col 48}{space 1}   26.24{col 57}{space 3}0.000{col 65}{space 4} .0000607{col 78}{space 3} .0000705
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0067284{col 37}{space 2} .0016553{col 48}{space 1}   -4.06{col 57}{space 3}0.000{col 65}{space 4}-.0099791{col 78}{space 3}-.0034776
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .0525134{col 37}{space 2} .0029265{col 48}{space 1}   17.94{col 57}{space 3}0.000{col 65}{space 4} .0467665{col 78}{space 3} .0582603
{txt}controls_education_high {c |}{col 25}{res}{space 2} .0830373{col 37}{space 2} .0042705{col 48}{space 1}   19.44{col 57}{space 3}0.000{col 65}{space 4} .0746511{col 78}{space 3} .0914236
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0557965{col 37}{space 2} .0023765{col 48}{space 1}   23.48{col 57}{space 3}0.000{col 65}{space 4} .0511296{col 78}{space 3} .0604633
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}4  {c |}{col 25}{res}{space 2} .0227544{col 37}{space 2} .0070196{col 48}{space 1}    3.24{col 57}{space 3}0.001{col 65}{space 4} .0089695{col 78}{space 3} .0365393
{txt}{space 21}5  {c |}{col 25}{res}{space 2}  .028342{col 37}{space 2} .0065621{col 48}{space 1}    4.32{col 57}{space 3}0.000{col 65}{space 4} .0154554{col 78}{space 3} .0412285
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0162986{col 37}{space 2} .0060963{col 48}{space 1}    2.67{col 57}{space 3}0.008{col 65}{space 4} .0043268{col 78}{space 3} .0282703
{txt}{space 21}7  {c |}{col 25}{res}{space 2}  .018872{col 37}{space 2} .0063842{col 48}{space 1}    2.96{col 57}{space 3}0.003{col 65}{space 4} .0063349{col 78}{space 3} .0314091
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .8270043{col 37}{space 2} .0086314{col 48}{space 1}   95.81{col 57}{space 3}0.000{col 65}{space 4} .8100542{col 78}{space 3} .8439543
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .14195331
                {txt}sigma_e {c |} {res}  .4392179
                    {txt}rho {c |} {res}  .0945764{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est2{txt} stored)

Fixed-effects (within) regression               Number of obs      = {res}   793802
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      150

{txt}R-sq:  within  = {res}0.0170                         {txt}Obs per group: min = {res}      504
{txt}       between = {res}0.0401                                        {txt}avg = {res}   5292.0
{txt}       overall = {res}0.0166                                        {txt}max = {res}    27148

                                                {txt}F({res}14{txt},{res}615{txt})          = {res}   115.22
{txt}corr(u_i, Xb)  = {res}-0.0391                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:616} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}        happy_yesterday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} .1187036{col 37}{space 2} .0685802{col 48}{space 1}    1.73{col 57}{space 3}0.084{col 65}{space 4}-.0159762{col 78}{space 3} .2533833
{txt}{space 15}loggdppc {c |}{col 25}{res}{space 2} .0042122{col 37}{space 2} .0726015{col 48}{space 1}    0.06{col 57}{space 3}0.954{col 65}{space 4}-.1383647{col 78}{space 3} .1467891
{txt}{space 6}unemployment_rate {c |}{col 25}{res}{space 2} -.433944{col 37}{space 2} .1574063{col 48}{space 1}   -2.76{col 57}{space 3}0.006{col 65}{space 4}-.7430631{col 78}{space 3} -.124825
{txt}{space 9}inflation_rate {c |}{col 25}{res}{space 2}-.0503333{col 37}{space 2} .0257984{col 48}{space 1}   -1.95{col 57}{space 3}0.052{col 65}{space 4} -.100997{col 78}{space 3} .0003304
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2} -.008683{col 37}{space 2} .0002746{col 48}{space 1}  -31.62{col 57}{space 3}0.000{col 65}{space 4}-.0092224{col 78}{space 3}-.0081437
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000649{col 37}{space 2} 2.48e-06{col 48}{space 1}   26.16{col 57}{space 3}0.000{col 65}{space 4}   .00006{col 78}{space 3} .0000698
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0062022{col 37}{space 2} .0016703{col 48}{space 1}   -3.71{col 57}{space 3}0.000{col 65}{space 4}-.0094824{col 78}{space 3} -.002922
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .0512068{col 37}{space 2} .0029144{col 48}{space 1}   17.57{col 57}{space 3}0.000{col 65}{space 4} .0454834{col 78}{space 3} .0569302
{txt}controls_education_high {c |}{col 25}{res}{space 2} .0814567{col 37}{space 2} .0042521{col 48}{space 1}   19.16{col 57}{space 3}0.000{col 65}{space 4} .0731063{col 78}{space 3} .0898071
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0562375{col 37}{space 2} .0023487{col 48}{space 1}   23.94{col 57}{space 3}0.000{col 65}{space 4}  .051625{col 78}{space 3} .0608499
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}4  {c |}{col 25}{res}{space 2} .0209413{col 37}{space 2} .0077262{col 48}{space 1}    2.71{col 57}{space 3}0.007{col 65}{space 4} .0057683{col 78}{space 3} .0361143
{txt}{space 21}5  {c |}{col 25}{res}{space 2} .0276004{col 37}{space 2} .0071298{col 48}{space 1}    3.87{col 57}{space 3}0.000{col 65}{space 4} .0135986{col 78}{space 3} .0416022
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0172332{col 37}{space 2} .0071675{col 48}{space 1}    2.40{col 57}{space 3}0.016{col 65}{space 4} .0031575{col 78}{space 3} .0313089
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0192084{col 37}{space 2} .0075562{col 48}{space 1}    2.54{col 57}{space 3}0.011{col 65}{space 4} .0043693{col 78}{space 3} .0340476
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .8313913{col 37}{space 2} .6062154{col 48}{space 1}    1.37{col 57}{space 3}0.171{col 65}{space 4} -.359112{col 78}{space 3} 2.021895
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res}  .1379011
                {txt}sigma_e {c |} {res} .43861467
                    {txt}rho {c |} {res} .08995626{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est3{txt} stored)

Fixed-effects (within) regression               Number of obs      = {res}   793802
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      150

{txt}R-sq:  within  = {res}0.0170                         {txt}Obs per group: min = {res}      504
{txt}       between = {res}0.0397                                        {txt}avg = {res}   5292.0
{txt}       overall = {res}0.0166                                        {txt}max = {res}    27148

                                                {txt}F({res}15{txt},{res}615{txt})          = {res}   108.76
{txt}corr(u_i, Xb)  = {res}-0.0396                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:616} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}        happy_yesterday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2} -.116398{col 37}{space 2} .0929237{col 48}{space 1}   -1.25{col 57}{space 3}0.211{col 65}{space 4}-.2988842{col 78}{space 3} .0660882
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2}  .120009{col 37}{space 2} .0987498{col 48}{space 1}    1.22{col 57}{space 3}0.225{col 65}{space 4}-.0739187{col 78}{space 3} .3139367
{txt}{space 15}loggdppc {c |}{col 25}{res}{space 2} .0041517{col 37}{space 2}  .072772{col 48}{space 1}    0.06{col 57}{space 3}0.955{col 65}{space 4}  -.13876{col 78}{space 3} .1470635
{txt}{space 6}unemployment_rate {c |}{col 25}{res}{space 2}-.4341885{col 37}{space 2} .1583759{col 48}{space 1}   -2.74{col 57}{space 3}0.006{col 65}{space 4}-.7452117{col 78}{space 3}-.1231653
{txt}{space 9}inflation_rate {c |}{col 25}{res}{space 2}-.0504839{col 37}{space 2} .0256963{col 48}{space 1}   -1.96{col 57}{space 3}0.050{col 65}{space 4} -.100947{col 78}{space 3}-.0000207
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0086831{col 37}{space 2} .0002747{col 48}{space 1}  -31.61{col 57}{space 3}0.000{col 65}{space 4}-.0092225{col 78}{space 3}-.0081437
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000649{col 37}{space 2} 2.48e-06{col 48}{space 1}   26.16{col 57}{space 3}0.000{col 65}{space 4}   .00006{col 78}{space 3} .0000698
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0062026{col 37}{space 2}   .00167{col 48}{space 1}   -3.71{col 57}{space 3}0.000{col 65}{space 4}-.0094822{col 78}{space 3} -.002923
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .0512067{col 37}{space 2} .0029138{col 48}{space 1}   17.57{col 57}{space 3}0.000{col 65}{space 4} .0454845{col 78}{space 3} .0569289
{txt}controls_education_high {c |}{col 25}{res}{space 2} .0814567{col 37}{space 2} .0042521{col 48}{space 1}   19.16{col 57}{space 3}0.000{col 65}{space 4} .0731063{col 78}{space 3} .0898071
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2}  .056238{col 37}{space 2} .0023474{col 48}{space 1}   23.96{col 57}{space 3}0.000{col 65}{space 4}  .051628{col 78}{space 3} .0608479
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}4  {c |}{col 25}{res}{space 2} .0209189{col 37}{space 2} .0077972{col 48}{space 1}    2.68{col 57}{space 3}0.007{col 65}{space 4} .0056066{col 78}{space 3} .0362312
{txt}{space 21}5  {c |}{col 25}{res}{space 2} .0275888{col 37}{space 2} .0071619{col 48}{space 1}    3.85{col 57}{space 3}0.000{col 65}{space 4} .0135241{col 78}{space 3} .0416535
{txt}{space 21}6  {c |}{col 25}{res}{space 2}   .01723{col 37}{space 2} .0071784{col 48}{space 1}    2.40{col 57}{space 3}0.017{col 65}{space 4} .0031328{col 78}{space 3} .0313272
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0192161{col 37}{space 2} .0075502{col 48}{space 1}    2.55{col 57}{space 3}0.011{col 65}{space 4} .0043888{col 78}{space 3} .0340434
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .8318601{col 37}{space 2} .6075106{col 48}{space 1}    1.37{col 57}{space 3}0.171{col 65}{space 4}-.3611867{col 78}{space 3} 2.024907
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .13793491
                {txt}sigma_e {c |} {res} .43861495
                    {txt}rho {c |} {res} .08999631{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est4{txt} stored)

Fixed-effects (within) regression               Number of obs      = {res}  1169277
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      156

{txt}R-sq:  within  = {res}0.0169                         {txt}Obs per group: min = {res}      500
{txt}       between = {res}0.0490                                        {txt}avg = {res}   7495.4
{txt}       overall = {res}0.0099                                        {txt}max = {res}    36686

                                                {txt}F({res}14{txt},{res}966{txt})          = {res}   169.92
{txt}corr(u_i, Xb)  = {res}-0.1365                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:967} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}    enjoyment_yesterday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} .1607979{col 37}{space 2} .0511715{col 48}{space 1}    3.14{col 57}{space 3}0.002{col 65}{space 4} .0603777{col 78}{space 3} .2612181
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0075296{col 37}{space 2} .0002301{col 48}{space 1}  -32.72{col 57}{space 3}0.000{col 65}{space 4}-.0079812{col 78}{space 3} -.007078
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000515{col 37}{space 2} 2.47e-06{col 48}{space 1}   20.85{col 57}{space 3}0.000{col 65}{space 4} .0000467{col 78}{space 3} .0000564
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}  .004589{col 37}{space 2} .0013642{col 48}{space 1}    3.36{col 57}{space 3}0.001{col 65}{space 4} .0019118{col 78}{space 3} .0072662
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .0525281{col 37}{space 2} .0024372{col 48}{space 1}   21.55{col 57}{space 3}0.000{col 65}{space 4} .0477453{col 78}{space 3} .0573108
{txt}controls_education_high {c |}{col 25}{res}{space 2} .0918408{col 37}{space 2} .0035491{col 48}{space 1}   25.88{col 57}{space 3}0.000{col 65}{space 4}  .084876{col 78}{space 3} .0988056
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0397641{col 37}{space 2} .0016468{col 48}{space 1}   24.15{col 57}{space 3}0.000{col 65}{space 4} .0365325{col 78}{space 3} .0429957
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0133726{col 37}{space 2} .0067664{col 48}{space 1}   -1.98{col 57}{space 3}0.048{col 65}{space 4}-.0266512{col 78}{space 3} -.000094
{txt}{space 21}3  {c |}{col 25}{res}{space 2} -.027476{col 37}{space 2} .0067272{col 48}{space 1}   -4.08{col 57}{space 3}0.000{col 65}{space 4}-.0406775{col 78}{space 3}-.0142744
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0178989{col 37}{space 2} .0076588{col 48}{space 1}   -2.34{col 57}{space 3}0.020{col 65}{space 4}-.0329287{col 78}{space 3} -.002869
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0211876{col 37}{space 2} .0062802{col 48}{space 1}   -3.37{col 57}{space 3}0.001{col 65}{space 4} -.033512{col 78}{space 3}-.0088632
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0252928{col 37}{space 2}  .006185{col 48}{space 1}   -4.09{col 57}{space 3}0.000{col 65}{space 4}-.0374304{col 78}{space 3}-.0131552
{txt}{space 21}7  {c |}{col 25}{res}{space 2} -.028812{col 37}{space 2} .0062939{col 48}{space 1}   -4.58{col 57}{space 3}0.000{col 65}{space 4}-.0411633{col 78}{space 3}-.0164608
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0195598{col 37}{space 2} .0063175{col 48}{space 1}   -3.10{col 57}{space 3}0.002{col 65}{space 4}-.0319574{col 78}{space 3}-.0071623
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .8558935{col 37}{space 2}  .007805{col 48}{space 1}  109.66{col 57}{space 3}0.000{col 65}{space 4} .8405768{col 78}{space 3} .8712103
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res}  .1130311
                {txt}sigma_e {c |} {res} .44288869
                    {txt}rho {c |} {res} .06115086{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est5{txt} stored)

Fixed-effects (within) regression               Number of obs      = {res}  1169277
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      156

{txt}R-sq:  within  = {res}0.0170                         {txt}Obs per group: min = {res}      500
{txt}       between = {res}0.0502                                        {txt}avg = {res}   7495.4
{txt}       overall = {res}0.0104                                        {txt}max = {res}    36686

                                                {txt}F({res}15{txt},{res}966{txt})          = {res}   164.59
{txt}corr(u_i, Xb)  = {res}-0.1244                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:967} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}    enjoyment_yesterday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-.3558846{col 37}{space 2}  .079538{col 48}{space 1}   -4.47{col 57}{space 3}0.000{col 65}{space 4}-.5119718{col 78}{space 3}-.1997973
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .0796663{col 37}{space 2} .0677081{col 48}{space 1}    1.18{col 57}{space 3}0.240{col 65}{space 4}-.0532057{col 78}{space 3} .2125383
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0075277{col 37}{space 2} .0002304{col 48}{space 1}  -32.67{col 57}{space 3}0.000{col 65}{space 4}-.0079799{col 78}{space 3}-.0070754
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000515{col 37}{space 2} 2.47e-06{col 48}{space 1}   20.83{col 57}{space 3}0.000{col 65}{space 4} .0000467{col 78}{space 3} .0000564
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2} .0046093{col 37}{space 2} .0013642{col 48}{space 1}    3.38{col 57}{space 3}0.001{col 65}{space 4}  .001932{col 78}{space 3} .0072865
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .0527003{col 37}{space 2} .0024311{col 48}{space 1}   21.68{col 57}{space 3}0.000{col 65}{space 4} .0479294{col 78}{space 3} .0574712
{txt}controls_education_high {c |}{col 25}{res}{space 2} .0920444{col 37}{space 2} .0035428{col 48}{space 1}   25.98{col 57}{space 3}0.000{col 65}{space 4}  .085092{col 78}{space 3} .0989969
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0397312{col 37}{space 2} .0016471{col 48}{space 1}   24.12{col 57}{space 3}0.000{col 65}{space 4} .0364988{col 78}{space 3} .0429635
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0132923{col 37}{space 2} .0067353{col 48}{space 1}   -1.97{col 57}{space 3}0.049{col 65}{space 4}-.0265097{col 78}{space 3}-.0000748
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0283279{col 37}{space 2} .0067282{col 48}{space 1}   -4.21{col 57}{space 3}0.000{col 65}{space 4}-.0415316{col 78}{space 3}-.0151243
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0173391{col 37}{space 2} .0075222{col 48}{space 1}   -2.31{col 57}{space 3}0.021{col 65}{space 4}-.0321007{col 78}{space 3}-.0025774
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0221467{col 37}{space 2} .0063143{col 48}{space 1}   -3.51{col 57}{space 3}0.000{col 65}{space 4} -.034538{col 78}{space 3}-.0097554
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0263048{col 37}{space 2} .0062172{col 48}{space 1}   -4.23{col 57}{space 3}0.000{col 65}{space 4}-.0385055{col 78}{space 3}-.0141041
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0304314{col 37}{space 2}  .006401{col 48}{space 1}   -4.75{col 57}{space 3}0.000{col 65}{space 4}-.0429929{col 78}{space 3}-.0178699
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0212873{col 37}{space 2} .0064386{col 48}{space 1}   -3.31{col 57}{space 3}0.001{col 65}{space 4}-.0339225{col 78}{space 3} -.008652
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .8610272{col 37}{space 2} .0083177{col 48}{space 1}  103.52{col 57}{space 3}0.000{col 65}{space 4} .8447044{col 78}{space 3} .8773499
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res}  .1116235
                {txt}sigma_e {c |} {res} .44287956
                    {txt}rho {c |} {res} .05973001{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est6{txt} stored)

Fixed-effects (within) regression               Number of obs      = {res}  1153213
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      154

{txt}R-sq:  within  = {res}0.0169                         {txt}Obs per group: min = {res}      500
{txt}       between = {res}0.1119                                        {txt}avg = {res}   7488.4
{txt}       overall = {res}0.0194                                        {txt}max = {res}    36686

                                                {txt}F({res}17{txt},{res}954{txt})          = {res}   134.47
{txt}corr(u_i, Xb)  = {res}-0.1693                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:955} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}    enjoyment_yesterday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} .1206911{col 37}{space 2}  .049939{col 48}{space 1}    2.42{col 57}{space 3}0.016{col 65}{space 4}  .022688{col 78}{space 3} .2186941
{txt}{space 15}loggdppc {c |}{col 25}{res}{space 2} .0372936{col 37}{space 2} .0291722{col 48}{space 1}    1.28{col 57}{space 3}0.201{col 65}{space 4}-.0199556{col 78}{space 3} .0945428
{txt}{space 6}unemployment_rate {c |}{col 25}{res}{space 2}-.2315737{col 37}{space 2} .0858222{col 48}{space 1}   -2.70{col 57}{space 3}0.007{col 65}{space 4}-.3999958{col 78}{space 3}-.0631517
{txt}{space 9}inflation_rate {c |}{col 25}{res}{space 2}-.0483914{col 37}{space 2} .0236324{col 48}{space 1}   -2.05{col 57}{space 3}0.041{col 65}{space 4}-.0947689{col 78}{space 3} -.002014
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0074626{col 37}{space 2} .0002324{col 48}{space 1}  -32.11{col 57}{space 3}0.000{col 65}{space 4}-.0079187{col 78}{space 3}-.0070065
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000509{col 37}{space 2} 2.49e-06{col 48}{space 1}   20.44{col 57}{space 3}0.000{col 65}{space 4}  .000046{col 78}{space 3} .0000558
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2} .0048134{col 37}{space 2} .0013768{col 48}{space 1}    3.50{col 57}{space 3}0.000{col 65}{space 4} .0021115{col 78}{space 3} .0075152
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .0521218{col 37}{space 2} .0024355{col 48}{space 1}   21.40{col 57}{space 3}0.000{col 65}{space 4} .0473422{col 78}{space 3} .0569015
{txt}controls_education_high {c |}{col 25}{res}{space 2} .0913826{col 37}{space 2} .0035449{col 48}{space 1}   25.78{col 57}{space 3}0.000{col 65}{space 4}  .084426{col 78}{space 3} .0983393
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0395405{col 37}{space 2} .0016657{col 48}{space 1}   23.74{col 57}{space 3}0.000{col 65}{space 4} .0362718{col 78}{space 3} .0428093
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0163192{col 37}{space 2}  .006706{col 48}{space 1}   -2.43{col 57}{space 3}0.015{col 65}{space 4}-.0294794{col 78}{space 3} -.003159
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0294355{col 37}{space 2} .0070956{col 48}{space 1}   -4.15{col 57}{space 3}0.000{col 65}{space 4}-.0433603{col 78}{space 3}-.0155106
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0225609{col 37}{space 2} .0079645{col 48}{space 1}   -2.83{col 57}{space 3}0.005{col 65}{space 4}-.0381909{col 78}{space 3}-.0069308
{txt}{space 21}5  {c |}{col 25}{res}{space 2} -.026167{col 37}{space 2} .0067113{col 48}{space 1}   -3.90{col 57}{space 3}0.000{col 65}{space 4}-.0393376{col 78}{space 3}-.0129965
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0293726{col 37}{space 2} .0071065{col 48}{space 1}   -4.13{col 57}{space 3}0.000{col 65}{space 4}-.0433187{col 78}{space 3}-.0154265
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0355326{col 37}{space 2} .0071355{col 48}{space 1}   -4.98{col 57}{space 3}0.000{col 65}{space 4}-.0495356{col 78}{space 3}-.0215296
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0271172{col 37}{space 2} .0077922{col 48}{space 1}   -3.48{col 57}{space 3}0.001{col 65}{space 4} -.042409{col 78}{space 3}-.0118254
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2}  .576629{col 37}{space 2} .2411314{col 48}{space 1}    2.39{col 57}{space 3}0.017{col 65}{space 4} .1034198{col 78}{space 3} 1.049838
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .10391604
                {txt}sigma_e {c |} {res} .44252488
                    {txt}rho {c |} {res}  .0522611{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est7{txt} stored)

Fixed-effects (within) regression               Number of obs      = {res}  1153213
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      154

{txt}R-sq:  within  = {res}0.0170                         {txt}Obs per group: min = {res}      500
{txt}       between = {res}0.1150                                        {txt}avg = {res}   7488.4
{txt}       overall = {res}0.0196                                        {txt}max = {res}    36686

                                                {txt}F({res}18{txt},{res}954{txt})          = {res}   130.12
{txt}corr(u_i, Xb)  = {res}-0.1458                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:955} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}    enjoyment_yesterday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2} -.230575{col 37}{space 2} .0917642{col 48}{space 1}   -2.51{col 57}{space 3}0.012{col 65}{space 4}-.4106579{col 78}{space 3} -.050492
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .0787381{col 37}{space 2} .0658843{col 48}{space 1}    1.20{col 57}{space 3}0.232{col 65}{space 4}-.0505569{col 78}{space 3}  .208033
{txt}{space 15}loggdppc {c |}{col 25}{res}{space 2} .0351574{col 37}{space 2} .0292135{col 48}{space 1}    1.20{col 57}{space 3}0.229{col 65}{space 4}-.0221727{col 78}{space 3} .0924875
{txt}{space 6}unemployment_rate {c |}{col 25}{res}{space 2}-.2237434{col 37}{space 2} .0863573{col 48}{space 1}   -2.59{col 57}{space 3}0.010{col 65}{space 4}-.3932157{col 78}{space 3}-.0542711
{txt}{space 9}inflation_rate {c |}{col 25}{res}{space 2}-.0419759{col 37}{space 2} .0245692{col 48}{space 1}   -1.71{col 57}{space 3}0.088{col 65}{space 4}-.0901918{col 78}{space 3} .0062401
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0074627{col 37}{space 2} .0002325{col 48}{space 1}  -32.10{col 57}{space 3}0.000{col 65}{space 4}-.0079189{col 78}{space 3}-.0070065
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000509{col 37}{space 2} 2.49e-06{col 48}{space 1}   20.44{col 57}{space 3}0.000{col 65}{space 4}  .000046{col 78}{space 3} .0000558
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2} .0048228{col 37}{space 2} .0013769{col 48}{space 1}    3.50{col 57}{space 3}0.000{col 65}{space 4} .0021207{col 78}{space 3} .0075249
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .0521996{col 37}{space 2} .0024323{col 48}{space 1}   21.46{col 57}{space 3}0.000{col 65}{space 4} .0474262{col 78}{space 3} .0569729
{txt}controls_education_high {c |}{col 25}{res}{space 2} .0914667{col 37}{space 2} .0035401{col 48}{space 1}   25.84{col 57}{space 3}0.000{col 65}{space 4} .0845193{col 78}{space 3}  .098414
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0395395{col 37}{space 2} .0016655{col 48}{space 1}   23.74{col 57}{space 3}0.000{col 65}{space 4} .0362711{col 78}{space 3} .0428079
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0160904{col 37}{space 2} .0067034{col 48}{space 1}   -2.40{col 57}{space 3}0.017{col 65}{space 4}-.0292454{col 78}{space 3}-.0029353
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0300418{col 37}{space 2} .0071116{col 48}{space 1}   -4.22{col 57}{space 3}0.000{col 65}{space 4} -.043998{col 78}{space 3}-.0160855
{txt}{space 21}4  {c |}{col 25}{res}{space 2} -.021893{col 37}{space 2} .0079247{col 48}{space 1}   -2.76{col 57}{space 3}0.006{col 65}{space 4}-.0374449{col 78}{space 3}-.0063411
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0263473{col 37}{space 2} .0067244{col 48}{space 1}   -3.92{col 57}{space 3}0.000{col 65}{space 4}-.0395436{col 78}{space 3}-.0131511
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0296603{col 37}{space 2} .0071041{col 48}{space 1}   -4.18{col 57}{space 3}0.000{col 65}{space 4}-.0436018{col 78}{space 3}-.0157188
{txt}{space 21}7  {c |}{col 25}{res}{space 2} -.036042{col 37}{space 2} .0071549{col 48}{space 1}   -5.04{col 57}{space 3}0.000{col 65}{space 4}-.0500832{col 78}{space 3}-.0220009
{txt}{space 21}8  {c |}{col 25}{res}{space 2} -.027563{col 37}{space 2} .0078058{col 48}{space 1}   -3.53{col 57}{space 3}0.000{col 65}{space 4}-.0428815{col 78}{space 3}-.0122445
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2}  .595657{col 37}{space 2} .2416657{col 48}{space 1}    2.46{col 57}{space 3}0.014{col 65}{space 4} .1213992{col 78}{space 3} 1.069915
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .10284104
                {txt}sigma_e {c |} {res} .44252246
                    {txt}rho {c |} {res} .05124106{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est8{txt} stored)

{com}. esttab using "gwp_restat_tab8.csv", replace b(3) se(3) r2(3) star(* 0.1 ** 0.05 *** 0.01) scalars("r2_w Within-R2 " "N_g Countries" "N_clust Country-Years")  sfmt(%12.3f %12.0f %12.0f)  ///
>  noconstant label order(gdpgrowth_wb gdpgrowth_wb_neg gdpgrowth_wb_pos loggdppc unemployment_rate inflation_rate)
{res}{txt}(note: file gwp_restat_tab8.csv not found)
(output written to {browse  `"gwp_restat_tab8.csv"'})

{com}. 
. 
. 
. *** Table 9 ***
. 
. eststo clear
{txt}
{com}. foreach var of varlist           worry_yesterday stress_yesterday {c -(}
{txt}  2{com}. eststo: xtreg `var'     gdpgrowth_wb                                                                                                                                                     $dem i. waveround, fe cluster(countryyear)  nonest
{txt}  3{com}. eststo: xtreg `var'     gdpgrowth_wb_neg gdpgrowth_wb_pos                                                                                                        $dem i. waveround, fe cluster(countryyear)  nonest
{txt}  4{com}. eststo: xtreg `var'     gdpgrowth_wb                                                            loggdppc unemployment_rate inflation_rate        $dem i. waveround, fe cluster(countryyear)  nonest
{txt}  5{com}. eststo: xtreg `var'     gdpgrowth_wb_neg gdpgrowth_wb_pos               loggdppc unemployment_rate inflation_rate        $dem i. waveround, fe cluster(countryyear)  nonest
{txt}  6{com}. {c )-}

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1156273
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      157

{txt}R-sq:  within  = {res}0.0099                         {txt}Obs per group: min = {res}      500
{txt}       between = {res}0.0176                                        {txt}avg = {res}   7364.8
{txt}       overall = {res}0.0105                                        {txt}max = {res}    36686

                                                {txt}F({res}14{txt},{res}966{txt})          = {res}   188.52
{txt}corr(u_i, Xb)  = {res}0.0053                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:967} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}        worry_yesterday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} -.155529{col 37}{space 2} .0502818{col 48}{space 1}   -3.09{col 57}{space 3}0.002{col 65}{space 4}-.2542031{col 78}{space 3}-.0568549
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2} .0090345{col 37}{space 2} .0002266{col 48}{space 1}   39.87{col 57}{space 3}0.000{col 65}{space 4} .0085899{col 78}{space 3} .0094792
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2}-.0000818{col 37}{space 2} 2.56e-06{col 48}{space 1}  -31.91{col 57}{space 3}0.000{col 65}{space 4}-.0000869{col 78}{space 3}-.0000768
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0318367{col 37}{space 2} .0016643{col 48}{space 1}  -19.13{col 57}{space 3}0.000{col 65}{space 4}-.0351028{col 78}{space 3}-.0285707
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2}-.0335598{col 37}{space 2}  .002254{col 48}{space 1}  -14.89{col 57}{space 3}0.000{col 65}{space 4} -.037983{col 78}{space 3}-.0291365
{txt}controls_education_high {c |}{col 25}{res}{space 2}-.0468543{col 37}{space 2} .0034243{col 48}{space 1}  -13.68{col 57}{space 3}0.000{col 65}{space 4}-.0535742{col 78}{space 3}-.0401345
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2}-.0267093{col 37}{space 2} .0014807{col 48}{space 1}  -18.04{col 57}{space 3}0.000{col 65}{space 4}-.0296151{col 78}{space 3}-.0238035
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0097782{col 37}{space 2} .0070158{col 48}{space 1}   -1.39{col 57}{space 3}0.164{col 65}{space 4}-.0235462{col 78}{space 3} .0039897
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0110295{col 37}{space 2}   .00668{col 48}{space 1}   -1.65{col 57}{space 3}0.099{col 65}{space 4}-.0241385{col 78}{space 3} .0020794
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0105745{col 37}{space 2} .0072789{col 48}{space 1}   -1.45{col 57}{space 3}0.147{col 65}{space 4}-.0248588{col 78}{space 3} .0037097
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0159814{col 37}{space 2} .0064683{col 48}{space 1}   -2.47{col 57}{space 3}0.014{col 65}{space 4}-.0286749{col 78}{space 3}-.0032878
{txt}{space 21}6  {c |}{col 25}{res}{space 2} -.001681{col 37}{space 2} .0063051{col 48}{space 1}   -0.27{col 57}{space 3}0.790{col 65}{space 4}-.0140543{col 78}{space 3} .0106923
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0149833{col 37}{space 2} .0065203{col 48}{space 1}    2.30{col 57}{space 3}0.022{col 65}{space 4} .0021877{col 78}{space 3}  .027779
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .0389198{col 37}{space 2} .0071721{col 48}{space 1}    5.43{col 57}{space 3}0.000{col 65}{space 4}  .024845{col 78}{space 3} .0529945
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .1874311{col 37}{space 2} .0077129{col 48}{space 1}   24.30{col 57}{space 3}0.000{col 65}{space 4} .1722952{col 78}{space 3}  .202567
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res}  .0978706
                {txt}sigma_e {c |} {res} .46083452
                    {txt}rho {c |} {res} .04315738{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est1{txt} stored)

Fixed-effects (within) regression               Number of obs      = {res}  1156273
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      157

{txt}R-sq:  within  = {res}0.0099                         {txt}Obs per group: min = {res}      500
{txt}       between = {res}0.0348                                        {txt}avg = {res}   7364.8
{txt}       overall = {res}0.0105                                        {txt}max = {res}    36686

                                                {txt}F({res}15{txt},{res}966{txt})          = {res}   175.52
{txt}corr(u_i, Xb)  = {res}0.0090                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:967} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}        worry_yesterday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2} .3592113{col 37}{space 2} .1238424{col 48}{space 1}    2.90{col 57}{space 3}0.004{col 65}{space 4} .1161802{col 78}{space 3} .6022425
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2}-.0700528{col 37}{space 2} .0649725{col 48}{space 1}   -1.08{col 57}{space 3}0.281{col 65}{space 4}-.1975563{col 78}{space 3} .0574508
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2} .0090325{col 37}{space 2} .0002269{col 48}{space 1}   39.81{col 57}{space 3}0.000{col 65}{space 4} .0085872{col 78}{space 3} .0094777
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2}-.0000818{col 37}{space 2} 2.57e-06{col 48}{space 1}  -31.88{col 57}{space 3}0.000{col 65}{space 4}-.0000869{col 78}{space 3}-.0000768
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0318594{col 37}{space 2} .0016664{col 48}{space 1}  -19.12{col 57}{space 3}0.000{col 65}{space 4}-.0351295{col 78}{space 3}-.0285893
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2}-.0337515{col 37}{space 2} .0022511{col 48}{space 1}  -14.99{col 57}{space 3}0.000{col 65}{space 4}-.0381691{col 78}{space 3}-.0293339
{txt}controls_education_high {c |}{col 25}{res}{space 2}-.0470802{col 37}{space 2} .0034186{col 48}{space 1}  -13.77{col 57}{space 3}0.000{col 65}{space 4} -.053789{col 78}{space 3}-.0403714
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2}-.0266742{col 37}{space 2} .0014779{col 48}{space 1}  -18.05{col 57}{space 3}0.000{col 65}{space 4}-.0295744{col 78}{space 3}-.0237739
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0098456{col 37}{space 2} .0070086{col 48}{space 1}   -1.40{col 57}{space 3}0.160{col 65}{space 4}-.0235995{col 78}{space 3} .0039083
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0101167{col 37}{space 2} .0066902{col 48}{space 1}   -1.51{col 57}{space 3}0.131{col 65}{space 4}-.0232456{col 78}{space 3} .0030123
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0110954{col 37}{space 2} .0072875{col 48}{space 1}   -1.52{col 57}{space 3}0.128{col 65}{space 4}-.0253965{col 78}{space 3} .0032057
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0150562{col 37}{space 2} .0065137{col 48}{space 1}   -2.31{col 57}{space 3}0.021{col 65}{space 4}-.0278388{col 78}{space 3}-.0022736
{txt}{space 21}6  {c |}{col 25}{res}{space 2}  -.00059{col 37}{space 2} .0063609{col 48}{space 1}   -0.09{col 57}{space 3}0.926{col 65}{space 4}-.0130728{col 78}{space 3} .0118928
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0167383{col 37}{space 2} .0066127{col 48}{space 1}    2.53{col 57}{space 3}0.012{col 65}{space 4} .0037614{col 78}{space 3} .0297152
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .0407827{col 37}{space 2} .0072678{col 48}{space 1}    5.61{col 57}{space 3}0.000{col 65}{space 4} .0265203{col 78}{space 3} .0550451
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .1820133{col 37}{space 2} .0082077{col 48}{space 1}   22.18{col 57}{space 3}0.000{col 65}{space 4} .1659063{col 78}{space 3} .1981202
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .09699949
                {txt}sigma_e {c |} {res} .46082495
                    {txt}rho {c |} {res} .04242667{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est2{txt} stored)

Fixed-effects (within) regression               Number of obs      = {res}  1142209
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      155

{txt}R-sq:  within  = {res}0.0101                         {txt}Obs per group: min = {res}      500
{txt}       between = {res}0.0292                                        {txt}avg = {res}   7369.1
{txt}       overall = {res}0.0124                                        {txt}max = {res}    36686

                                                {txt}F({res}17{txt},{res}955{txt})          = {res}   155.48
{txt}corr(u_i, Xb)  = {res}-0.0383                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:956} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}        worry_yesterday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2}-.1283506{col 37}{space 2} .0501975{col 48}{space 1}   -2.56{col 57}{space 3}0.011{col 65}{space 4}-.2268607{col 78}{space 3}-.0298405
{txt}{space 15}loggdppc {c |}{col 25}{res}{space 2}-.0040994{col 37}{space 2} .0280191{col 48}{space 1}   -0.15{col 57}{space 3}0.884{col 65}{space 4}-.0590855{col 78}{space 3} .0508867
{txt}{space 6}unemployment_rate {c |}{col 25}{res}{space 2} .5031673{col 37}{space 2} .1072874{col 48}{space 1}    4.69{col 57}{space 3}0.000{col 65}{space 4}  .292621{col 78}{space 3} .7137135
{txt}{space 9}inflation_rate {c |}{col 25}{res}{space 2} .0212898{col 37}{space 2} .0222901{col 48}{space 1}    0.96{col 57}{space 3}0.340{col 65}{space 4}-.0224534{col 78}{space 3}  .065033
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2} .0089872{col 37}{space 2} .0002272{col 48}{space 1}   39.56{col 57}{space 3}0.000{col 65}{space 4} .0085414{col 78}{space 3}  .009433
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2}-.0000815{col 37}{space 2} 2.57e-06{col 48}{space 1}  -31.69{col 57}{space 3}0.000{col 65}{space 4}-.0000865{col 78}{space 3}-.0000765
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0321103{col 37}{space 2} .0016778{col 48}{space 1}  -19.14{col 57}{space 3}0.000{col 65}{space 4}-.0354029{col 78}{space 3}-.0288177
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2}-.0338598{col 37}{space 2} .0022541{col 48}{space 1}  -15.02{col 57}{space 3}0.000{col 65}{space 4}-.0382833{col 78}{space 3}-.0294363
{txt}controls_education_high {c |}{col 25}{res}{space 2}-.0469257{col 37}{space 2} .0034155{col 48}{space 1}  -13.74{col 57}{space 3}0.000{col 65}{space 4}-.0536284{col 78}{space 3} -.040223
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2}-.0267784{col 37}{space 2} .0015061{col 48}{space 1}  -17.78{col 57}{space 3}0.000{col 65}{space 4}-.0297341{col 78}{space 3}-.0238228
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0067527{col 37}{space 2} .0070186{col 48}{space 1}   -0.96{col 57}{space 3}0.336{col 65}{space 4}-.0205263{col 78}{space 3} .0070209
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0087261{col 37}{space 2} .0067531{col 48}{space 1}   -1.29{col 57}{space 3}0.197{col 65}{space 4}-.0219788{col 78}{space 3} .0045266
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0097289{col 37}{space 2} .0073239{col 48}{space 1}   -1.33{col 57}{space 3}0.184{col 65}{space 4}-.0241018{col 78}{space 3}  .004644
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0149658{col 37}{space 2} .0069062{col 48}{space 1}   -2.17{col 57}{space 3}0.030{col 65}{space 4}-.0285188{col 78}{space 3}-.0014128
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0015217{col 37}{space 2} .0071907{col 48}{space 1}   -0.21{col 57}{space 3}0.832{col 65}{space 4}-.0156332{col 78}{space 3} .0125898
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0158965{col 37}{space 2} .0075895{col 48}{space 1}    2.09{col 57}{space 3}0.036{col 65}{space 4} .0010025{col 78}{space 3} .0307905
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .0399228{col 37}{space 2} .0082446{col 48}{space 1}    4.84{col 57}{space 3}0.000{col 65}{space 4} .0237433{col 78}{space 3} .0561024
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .1776716{col 37}{space 2} .2319774{col 48}{space 1}    0.77{col 57}{space 3}0.444{col 65}{space 4}-.2775728{col 78}{space 3}  .632916
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .09806437
                {txt}sigma_e {c |} {res} .46087192
                    {txt}rho {c |} {res} .04331429{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est3{txt} stored)

Fixed-effects (within) regression               Number of obs      = {res}  1142209
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      155

{txt}R-sq:  within  = {res}0.0101                         {txt}Obs per group: min = {res}      500
{txt}       between = {res}0.0377                                        {txt}avg = {res}   7369.1
{txt}       overall = {res}0.0126                                        {txt}max = {res}    36686

                                                {txt}F({res}18{txt},{res}955{txt})          = {res}   146.92
{txt}corr(u_i, Xb)  = {res}-0.0285                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:956} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}        worry_yesterday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2} .2662545{col 37}{space 2} .1271791{col 48}{space 1}    2.09{col 57}{space 3}0.037{col 65}{space 4} .0166716{col 78}{space 3} .5158373
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2}-.0754841{col 37}{space 2} .0619806{col 48}{space 1}   -1.22{col 57}{space 3}0.224{col 65}{space 4}-.1971181{col 78}{space 3} .0461498
{txt}{space 15}loggdppc {c |}{col 25}{res}{space 2}-.0014266{col 37}{space 2} .0280126{col 48}{space 1}   -0.05{col 57}{space 3}0.959{col 65}{space 4}-.0564001{col 78}{space 3} .0535468
{txt}{space 6}unemployment_rate {c |}{col 25}{res}{space 2} .4929232{col 37}{space 2} .1077629{col 48}{space 1}    4.57{col 57}{space 3}0.000{col 65}{space 4} .2814437{col 78}{space 3} .7044027
{txt}{space 9}inflation_rate {c |}{col 25}{res}{space 2} .0133197{col 37}{space 2} .0224858{col 48}{space 1}    0.59{col 57}{space 3}0.554{col 65}{space 4}-.0308077{col 78}{space 3} .0574471
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2} .0089873{col 37}{space 2} .0002272{col 48}{space 1}   39.55{col 57}{space 3}0.000{col 65}{space 4} .0085414{col 78}{space 3} .0094332
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2}-.0000815{col 37}{space 2} 2.57e-06{col 48}{space 1}  -31.69{col 57}{space 3}0.000{col 65}{space 4}-.0000866{col 78}{space 3}-.0000765
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2} -.032123{col 37}{space 2} .0016793{col 48}{space 1}  -19.13{col 57}{space 3}0.000{col 65}{space 4}-.0354185{col 78}{space 3}-.0288274
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2}-.0339616{col 37}{space 2} .0022523{col 48}{space 1}  -15.08{col 57}{space 3}0.000{col 65}{space 4}-.0383817{col 78}{space 3}-.0295416
{txt}controls_education_high {c |}{col 25}{res}{space 2}-.0470362{col 37}{space 2} .0034103{col 48}{space 1}  -13.79{col 57}{space 3}0.000{col 65}{space 4}-.0537287{col 78}{space 3}-.0403437
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2}-.0267773{col 37}{space 2} .0015051{col 48}{space 1}  -17.79{col 57}{space 3}0.000{col 65}{space 4}-.0297309{col 78}{space 3}-.0238236
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0070305{col 37}{space 2} .0070123{col 48}{space 1}   -1.00{col 57}{space 3}0.316{col 65}{space 4}-.0207919{col 78}{space 3} .0067309
{txt}{space 21}3  {c |}{col 25}{res}{space 2} -.007963{col 37}{space 2} .0067824{col 48}{space 1}   -1.17{col 57}{space 3}0.241{col 65}{space 4}-.0212731{col 78}{space 3} .0053471
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0105361{col 37}{space 2} .0073891{col 48}{space 1}   -1.43{col 57}{space 3}0.154{col 65}{space 4} -.025037{col 78}{space 3} .0039647
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0147547{col 37}{space 2} .0069335{col 48}{space 1}   -2.13{col 57}{space 3}0.034{col 65}{space 4}-.0283613{col 78}{space 3}-.0011481
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0011447{col 37}{space 2} .0072357{col 48}{space 1}   -0.16{col 57}{space 3}0.874{col 65}{space 4}-.0153444{col 78}{space 3}  .013055
{txt}{space 21}7  {c |}{col 25}{res}{space 2}  .016572{col 37}{space 2} .0076296{col 48}{space 1}    2.17{col 57}{space 3}0.030{col 65}{space 4} .0015992{col 78}{space 3} .0315448
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .0405165{col 37}{space 2} .0082898{col 48}{space 1}    4.89{col 57}{space 3}0.000{col 65}{space 4} .0242481{col 78}{space 3} .0567849
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .1538546{col 37}{space 2}  .231967{col 48}{space 1}    0.66{col 57}{space 3}0.507{col 65}{space 4}-.3013693{col 78}{space 3} .6090785
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .09707582
                {txt}sigma_e {c |} {res} .46086817
                    {txt}rho {c |} {res} .04248301{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est4{txt} stored)

Fixed-effects (within) regression               Number of obs      = {res}  1057236
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      156

{txt}R-sq:  within  = {res}0.0090                         {txt}Obs per group: min = {res}      500
{txt}       between = {res}0.0074                                        {txt}avg = {res}   6777.2
{txt}       overall = {res}0.0087                                        {txt}max = {res}    36686

                                                {txt}F({res}14{txt},{res}888{txt})          = {res}    91.03
{txt}corr(u_i, Xb)  = {res}-0.0017                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:889} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       stress_yesterday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2}-.0787079{col 37}{space 2} .0469858{col 48}{space 1}   -1.68{col 57}{space 3}0.094{col 65}{space 4}-.1709241{col 78}{space 3} .0135084
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2} .0078919{col 37}{space 2} .0002816{col 48}{space 1}   28.03{col 57}{space 3}0.000{col 65}{space 4} .0073392{col 78}{space 3} .0084446
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2}-.0000941{col 37}{space 2} 3.11e-06{col 48}{space 1}  -30.28{col 57}{space 3}0.000{col 65}{space 4}-.0001002{col 78}{space 3} -.000088
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0161382{col 37}{space 2}   .00203{col 48}{space 1}   -7.95{col 57}{space 3}0.000{col 65}{space 4}-.0201223{col 78}{space 3} -.012154
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} -.010276{col 37}{space 2} .0022588{col 48}{space 1}   -4.55{col 57}{space 3}0.000{col 65}{space 4}-.0147092{col 78}{space 3}-.0058427
{txt}controls_education_high {c |}{col 25}{res}{space 2}-.0009034{col 37}{space 2}  .003121{col 48}{space 1}   -0.29{col 57}{space 3}0.772{col 65}{space 4}-.0070288{col 78}{space 3} .0052221
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2}-.0144184{col 37}{space 2} .0015405{col 48}{space 1}   -9.36{col 57}{space 3}0.000{col 65}{space 4}-.0174417{col 78}{space 3} -.011395
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0352131{col 37}{space 2} .0094453{col 48}{space 1}   -3.73{col 57}{space 3}0.000{col 65}{space 4}-.0537508{col 78}{space 3}-.0166755
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0159048{col 37}{space 2} .0068793{col 48}{space 1}   -2.31{col 57}{space 3}0.021{col 65}{space 4}-.0294064{col 78}{space 3}-.0024032
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0163605{col 37}{space 2}  .007775{col 48}{space 1}   -2.10{col 57}{space 3}0.036{col 65}{space 4}  -.03162{col 78}{space 3}-.0011009
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0098591{col 37}{space 2} .0068124{col 48}{space 1}   -1.45{col 57}{space 3}0.148{col 65}{space 4}-.0232294{col 78}{space 3} .0035112
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0166805{col 37}{space 2} .0068463{col 48}{space 1}    2.44{col 57}{space 3}0.015{col 65}{space 4} .0032438{col 78}{space 3} .0301173
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0270377{col 37}{space 2}  .006786{col 48}{space 1}    3.98{col 57}{space 3}0.000{col 65}{space 4} .0137192{col 78}{space 3} .0403562
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .0444278{col 37}{space 2} .0071951{col 48}{space 1}    6.17{col 57}{space 3}0.000{col 65}{space 4} .0303064{col 78}{space 3} .0585493
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .1666544{col 37}{space 2} .0090458{col 48}{space 1}   18.42{col 57}{space 3}0.000{col 65}{space 4} .1489007{col 78}{space 3}  .184408
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .10439297
                {txt}sigma_e {c |} {res} .43906421
                    {txt}rho {c |} {res} .05350621{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est5{txt} stored)

Fixed-effects (within) regression               Number of obs      = {res}  1057236
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      156

{txt}R-sq:  within  = {res}0.0091                         {txt}Obs per group: min = {res}      500
{txt}       between = {res}0.0033                                        {txt}avg = {res}   6777.2
{txt}       overall = {res}0.0085                                        {txt}max = {res}    36686

                                                {txt}F({res}15{txt},{res}888{txt})          = {res}    85.20
{txt}corr(u_i, Xb)  = {res}-0.0095                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:889} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       stress_yesterday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2} .3276892{col 37}{space 2}  .119626{col 48}{space 1}    2.74{col 57}{space 3}0.006{col 65}{space 4} .0929065{col 78}{space 3} .5624719
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .0342402{col 37}{space 2} .0648536{col 48}{space 1}    0.53{col 57}{space 3}0.598{col 65}{space 4}-.0930441{col 78}{space 3} .1615245
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2} .0078883{col 37}{space 2} .0002818{col 48}{space 1}   27.99{col 57}{space 3}0.000{col 65}{space 4} .0073352{col 78}{space 3} .0084414
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2}-.0000941{col 37}{space 2} 3.11e-06{col 48}{space 1}  -30.28{col 57}{space 3}0.000{col 65}{space 4}-.0001002{col 78}{space 3} -.000088
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0161677{col 37}{space 2} .0020308{col 48}{space 1}   -7.96{col 57}{space 3}0.000{col 65}{space 4}-.0201534{col 78}{space 3} -.012182
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2}-.0104888{col 37}{space 2} .0022575{col 48}{space 1}   -4.65{col 57}{space 3}0.000{col 65}{space 4}-.0149195{col 78}{space 3}-.0060582
{txt}controls_education_high {c |}{col 25}{res}{space 2} -.001173{col 37}{space 2} .0031175{col 48}{space 1}   -0.38{col 57}{space 3}0.707{col 65}{space 4}-.0072915{col 78}{space 3} .0049455
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} -.014359{col 37}{space 2} .0015332{col 48}{space 1}   -9.37{col 57}{space 3}0.000{col 65}{space 4}-.0173681{col 78}{space 3}-.0113499
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0360283{col 37}{space 2}  .009219{col 48}{space 1}   -3.91{col 57}{space 3}0.000{col 65}{space 4}-.0541218{col 78}{space 3}-.0179347
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0147547{col 37}{space 2} .0068777{col 48}{space 1}   -2.15{col 57}{space 3}0.032{col 65}{space 4}-.0282532{col 78}{space 3}-.0012563
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0169635{col 37}{space 2} .0077797{col 48}{space 1}   -2.18{col 57}{space 3}0.029{col 65}{space 4}-.0322322{col 78}{space 3}-.0016947
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0087902{col 37}{space 2} .0068157{col 48}{space 1}   -1.29{col 57}{space 3}0.197{col 65}{space 4} -.022167{col 78}{space 3} .0045866
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0180365{col 37}{space 2} .0068748{col 48}{space 1}    2.62{col 57}{space 3}0.009{col 65}{space 4} .0045438{col 78}{space 3} .0315292
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0292586{col 37}{space 2} .0068217{col 48}{space 1}    4.29{col 57}{space 3}0.000{col 65}{space 4}   .01587{col 78}{space 3} .0426471
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .0467627{col 37}{space 2} .0072352{col 48}{space 1}    6.46{col 57}{space 3}0.000{col 65}{space 4} .0325627{col 78}{space 3} .0609628
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .1596108{col 37}{space 2} .0093448{col 48}{space 1}   17.08{col 57}{space 3}0.000{col 65}{space 4} .1412704{col 78}{space 3} .1779513
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .10423785
                {txt}sigma_e {c |} {res} .43904819
                    {txt}rho {c |} {res} .05335948{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est6{txt} stored)

Fixed-effects (within) regression               Number of obs      = {res}  1044172
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      154

{txt}R-sq:  within  = {res}0.0093                         {txt}Obs per group: min = {res}      500
{txt}       between = {res}0.0039                                        {txt}avg = {res}   6780.3
{txt}       overall = {res}0.0080                                        {txt}max = {res}    36686

                                                {txt}F({res}17{txt},{res}877{txt})          = {res}    76.03
{txt}corr(u_i, Xb)  = {res}-0.1404                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:878} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       stress_yesterday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2}-.0543203{col 37}{space 2} .0513645{col 48}{space 1}   -1.06{col 57}{space 3}0.291{col 65}{space 4}-.1551319{col 78}{space 3} .0464914
{txt}{space 15}loggdppc {c |}{col 25}{res}{space 2} .0017259{col 37}{space 2} .0321841{col 48}{space 1}    0.05{col 57}{space 3}0.957{col 65}{space 4} -.061441{col 78}{space 3} .0648927
{txt}{space 6}unemployment_rate {c |}{col 25}{res}{space 2} .5937862{col 37}{space 2} .1427879{col 48}{space 1}    4.16{col 57}{space 3}0.000{col 65}{space 4} .3135403{col 78}{space 3} .8740321
{txt}{space 9}inflation_rate {c |}{col 25}{res}{space 2} .0151684{col 37}{space 2}   .01899{col 48}{space 1}    0.80{col 57}{space 3}0.425{col 65}{space 4}-.0221028{col 78}{space 3} .0524397
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2} .0078026{col 37}{space 2} .0002818{col 48}{space 1}   27.69{col 57}{space 3}0.000{col 65}{space 4} .0072497{col 78}{space 3} .0083556
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2}-.0000933{col 37}{space 2} 3.11e-06{col 48}{space 1}  -30.02{col 57}{space 3}0.000{col 65}{space 4}-.0000994{col 78}{space 3}-.0000872
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0163532{col 37}{space 2}  .002051{col 48}{space 1}   -7.97{col 57}{space 3}0.000{col 65}{space 4}-.0203788{col 78}{space 3}-.0123277
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2}-.0105766{col 37}{space 2} .0022465{col 48}{space 1}   -4.71{col 57}{space 3}0.000{col 65}{space 4}-.0149857{col 78}{space 3}-.0061674
{txt}controls_education_high {c |}{col 25}{res}{space 2}-.0008555{col 37}{space 2} .0030806{col 48}{space 1}   -0.28{col 57}{space 3}0.781{col 65}{space 4}-.0069017{col 78}{space 3} .0051907
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2}-.0145827{col 37}{space 2} .0015347{col 48}{space 1}   -9.50{col 57}{space 3}0.000{col 65}{space 4}-.0175947{col 78}{space 3}-.0115706
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0366018{col 37}{space 2} .0096358{col 48}{space 1}   -3.80{col 57}{space 3}0.000{col 65}{space 4}-.0555138{col 78}{space 3}-.0176899
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0134779{col 37}{space 2} .0070035{col 48}{space 1}   -1.92{col 57}{space 3}0.055{col 65}{space 4}-.0272235{col 78}{space 3} .0002676
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0173608{col 37}{space 2} .0079543{col 48}{space 1}   -2.18{col 57}{space 3}0.029{col 65}{space 4}-.0329725{col 78}{space 3}-.0017491
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0103924{col 37}{space 2} .0071805{col 48}{space 1}   -1.45{col 57}{space 3}0.148{col 65}{space 4}-.0244853{col 78}{space 3} .0037005
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0151323{col 37}{space 2} .0076566{col 48}{space 1}    1.98{col 57}{space 3}0.048{col 65}{space 4} .0001049{col 78}{space 3} .0301598
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0260533{col 37}{space 2} .0082842{col 48}{space 1}    3.14{col 57}{space 3}0.002{col 65}{space 4} .0097942{col 78}{space 3} .0423125
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .0425589{col 37}{space 2} .0089889{col 48}{space 1}    4.73{col 57}{space 3}0.000{col 65}{space 4} .0249167{col 78}{space 3} .0602011
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .1053355{col 37}{space 2} .2681054{col 48}{space 1}    0.39{col 57}{space 3}0.694{col 65}{space 4}-.4208677{col 78}{space 3} .6315386
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .10765099
                {txt}sigma_e {c |} {res} .43885897
                    {txt}rho {c |} {res}  .0567558{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est7{txt} stored)

Fixed-effects (within) regression               Number of obs      = {res}  1044172
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      154

{txt}R-sq:  within  = {res}0.0094                         {txt}Obs per group: min = {res}      500
{txt}       between = {res}0.0157                                        {txt}avg = {res}   6780.3
{txt}       overall = {res}0.0093                                        {txt}max = {res}    36686

                                                {txt}F({res}18{txt},{res}877{txt})          = {res}    72.06
{txt}corr(u_i, Xb)  = {res}-0.1124                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:878} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       stress_yesterday{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2} .2754399{col 37}{space 2} .1279763{col 48}{space 1}    2.15{col 57}{space 3}0.032{col 65}{space 4} .0242643{col 78}{space 3} .5266154
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .0336454{col 37}{space 2} .0670034{col 48}{space 1}    0.50{col 57}{space 3}0.616{col 65}{space 4}-.0978604{col 78}{space 3} .1651512
{txt}{space 15}loggdppc {c |}{col 25}{res}{space 2} .0054734{col 37}{space 2} .0325182{col 48}{space 1}    0.17{col 57}{space 3}0.866{col 65}{space 4}-.0583491{col 78}{space 3} .0692959
{txt}{space 6}unemployment_rate {c |}{col 25}{res}{space 2} .5798678{col 37}{space 2}  .143116{col 48}{space 1}    4.05{col 57}{space 3}0.000{col 65}{space 4} .2989779{col 78}{space 3} .8607577
{txt}{space 9}inflation_rate {c |}{col 25}{res}{space 2} .0001103{col 37}{space 2} .0205852{col 48}{space 1}    0.01{col 57}{space 3}0.996{col 65}{space 4}-.0402917{col 78}{space 3} .0405123
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2} .0078012{col 37}{space 2} .0002818{col 48}{space 1}   27.68{col 57}{space 3}0.000{col 65}{space 4} .0072481{col 78}{space 3} .0083542
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2}-.0000933{col 37}{space 2} 3.11e-06{col 48}{space 1}  -30.03{col 57}{space 3}0.000{col 65}{space 4}-.0000994{col 78}{space 3}-.0000872
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0163759{col 37}{space 2} .0020515{col 48}{space 1}   -7.98{col 57}{space 3}0.000{col 65}{space 4}-.0204023{col 78}{space 3}-.0123494
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2}-.0107132{col 37}{space 2} .0022462{col 48}{space 1}   -4.77{col 57}{space 3}0.000{col 65}{space 4}-.0151217{col 78}{space 3}-.0063047
{txt}controls_education_high {c |}{col 25}{res}{space 2}-.0010194{col 37}{space 2} .0030788{col 48}{space 1}   -0.33{col 57}{space 3}0.741{col 65}{space 4}-.0070621{col 78}{space 3} .0050233
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2}-.0145609{col 37}{space 2} .0015319{col 48}{space 1}   -9.51{col 57}{space 3}0.000{col 65}{space 4}-.0175675{col 78}{space 3}-.0115543
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0372519{col 37}{space 2} .0095084{col 48}{space 1}   -3.92{col 57}{space 3}0.000{col 65}{space 4}-.0559138{col 78}{space 3}-.0185899
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0121441{col 37}{space 2} .0070239{col 48}{space 1}   -1.73{col 57}{space 3}0.084{col 65}{space 4}-.0259296{col 78}{space 3} .0016414
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0187759{col 37}{space 2} .0080236{col 48}{space 1}   -2.34{col 57}{space 3}0.020{col 65}{space 4}-.0345235{col 78}{space 3}-.0030282
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0101361{col 37}{space 2} .0072188{col 48}{space 1}   -1.40{col 57}{space 3}0.161{col 65}{space 4}-.0243042{col 78}{space 3}  .004032
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0157498{col 37}{space 2}   .00771{col 48}{space 1}    2.04{col 57}{space 3}0.041{col 65}{space 4} .0006177{col 78}{space 3} .0308819
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0271687{col 37}{space 2} .0083219{col 48}{space 1}    3.26{col 57}{space 3}0.001{col 65}{space 4} .0108356{col 78}{space 3} .0435018
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .0435018{col 37}{space 2} .0090405{col 48}{space 1}    4.81{col 57}{space 3}0.000{col 65}{space 4} .0257582{col 78}{space 3} .0612453
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .0713464{col 37}{space 2} .2709295{col 48}{space 1}    0.26{col 57}{space 3}0.792{col 65}{space 4}-.4603995{col 78}{space 3} .6030923
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .10550355
                {txt}sigma_e {c |} {res} .43884818
                    {txt}rho {c |} {res} .05463906{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est8{txt} stored)

{com}. esttab using "gwp_restat_tab9.csv", replace b(3) se(3) r2(3) star(* 0.1 ** 0.05 *** 0.01) scalars("r2_w Within-R2 " "N_g Countries" "N_clust Country-Years")  sfmt(%12.3f %12.0f %12.0f) ///
>  noconstant label order(gdpgrowth_wb gdpgrowth_wb_neg gdpgrowth_wb_pos loggdppc unemployment_rate inflation_rate)
{res}{txt}(note: file gwp_restat_tab9.csv not found)
(output written to {browse  `"gwp_restat_tab9.csv"'})

{com}. 
. 
. *** Table SOM.5 ***
. eststo: xtreg std_lifeladder    gdpgrowth_wb                                                              $dem i. waveround if panel_balance07to13==1 & year>2006, fe cluster(countryyear) nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}   633273
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}       68

{txt}R-sq:  within  = {res}0.0362                         {txt}Obs per group: min = {res}     5874
{txt}       between = {res}0.0000                                        {txt}avg = {res}   9312.8
{txt}       overall = {res}0.0281                                        {txt}max = {res}    33052

                                                {txt}F({res}14{txt},{res}475{txt})          = {res}   159.60
{txt}corr(u_i, Xb)  = {res}-0.0246                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:476} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} .7450213{col 37}{space 2} .2723974{col 48}{space 1}    2.74{col 57}{space 3}0.006{col 65}{space 4} .2097683{col 78}{space 3} 1.280274
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0212433{col 37}{space 2}  .000924{col 48}{space 1}  -22.99{col 57}{space 3}0.000{col 65}{space 4} -.023059{col 78}{space 3}-.0194276
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001788{col 37}{space 2} 9.11e-06{col 48}{space 1}   19.63{col 57}{space 3}0.000{col 65}{space 4} .0001609{col 78}{space 3} .0001966
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0403854{col 37}{space 2} .0041516{col 48}{space 1}   -9.73{col 57}{space 3}0.000{col 65}{space 4}-.0485432{col 78}{space 3}-.0322275
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2}  .213599{col 37}{space 2} .0109506{col 48}{space 1}   19.51{col 57}{space 3}0.000{col 65}{space 4} .1920813{col 78}{space 3} .2351167
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4314199{col 37}{space 2} .0153748{col 48}{space 1}   28.06{col 57}{space 3}0.000{col 65}{space 4} .4012088{col 78}{space 3} .4616309
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2}  .098778{col 37}{space 2} .0076063{col 48}{space 1}   12.99{col 57}{space 3}0.000{col 65}{space 4} .0838318{col 78}{space 3} .1137242
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2} .2805852{col 37}{space 2} .0785065{col 48}{space 1}    3.57{col 57}{space 3}0.000{col 65}{space 4} .1263223{col 78}{space 3} .4348481
{txt}{space 21}3  {c |}{col 25}{res}{space 2} .2598644{col 37}{space 2} .0753255{col 48}{space 1}    3.45{col 57}{space 3}0.001{col 65}{space 4}  .111852{col 78}{space 3} .4078768
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .2994516{col 37}{space 2} .0770014{col 48}{space 1}    3.89{col 57}{space 3}0.000{col 65}{space 4} .1481461{col 78}{space 3} .4507571
{txt}{space 21}5  {c |}{col 25}{res}{space 2} .2810793{col 37}{space 2} .0758476{col 48}{space 1}    3.71{col 57}{space 3}0.000{col 65}{space 4} .1320409{col 78}{space 3} .4301177
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .2914708{col 37}{space 2} .0767277{col 48}{space 1}    3.80{col 57}{space 3}0.000{col 65}{space 4} .1407032{col 78}{space 3} .4422384
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .2740492{col 37}{space 2} .0750195{col 48}{space 1}    3.65{col 57}{space 3}0.000{col 65}{space 4} .1266382{col 78}{space 3} .4214603
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .2633838{col 37}{space 2} .0781987{col 48}{space 1}    3.37{col 57}{space 3}0.001{col 65}{space 4} .1097257{col 78}{space 3} .4170418
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .0325664{col 37}{space 2} .0787196{col 48}{space 1}    0.41{col 57}{space 3}0.679{col 65}{space 4}-.1221153{col 78}{space 3} .1872481
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res}  .4469632
                {txt}sigma_e {c |} {res} .87754719
                    {txt}rho {c |} {res} .20598338{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est9{txt} stored)

{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb_neg gdpgrowth_wb_pos                 $dem i. waveround if panel_balance07to13==1 & year>2006, fe cluster(countryyear) nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}   633273
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}       68

{txt}R-sq:  within  = {res}0.0363                         {txt}Obs per group: min = {res}     5874
{txt}       between = {res}0.0016                                        {txt}avg = {res}   9312.8
{txt}       overall = {res}0.0306                                        {txt}max = {res}    33052

                                                {txt}F({res}15{txt},{res}475{txt})          = {res}   148.49
{txt}corr(u_i, Xb)  = {res}-0.0080                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:476} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-1.372677{col 37}{space 2} .6027342{col 48}{space 1}   -2.28{col 57}{space 3}0.023{col 65}{space 4}-2.557032{col 78}{space 3}-.1883214
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .5040193{col 37}{space 2} .2950329{col 48}{space 1}    1.71{col 57}{space 3}0.088{col 65}{space 4}-.0757118{col 78}{space 3}  1.08375
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0212332{col 37}{space 2} .0009242{col 48}{space 1}  -22.97{col 57}{space 3}0.000{col 65}{space 4}-.0230493{col 78}{space 3}-.0194171
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001787{col 37}{space 2} 9.11e-06{col 48}{space 1}   19.62{col 57}{space 3}0.000{col 65}{space 4} .0001608{col 78}{space 3} .0001966
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2} -.040314{col 37}{space 2} .0041569{col 48}{space 1}   -9.70{col 57}{space 3}0.000{col 65}{space 4}-.0484821{col 78}{space 3}-.0321459
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .2140174{col 37}{space 2}  .010917{col 48}{space 1}   19.60{col 57}{space 3}0.000{col 65}{space 4} .1925658{col 78}{space 3} .2354691
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4317435{col 37}{space 2} .0153561{col 48}{space 1}   28.12{col 57}{space 3}0.000{col 65}{space 4} .4015693{col 78}{space 3} .4619177
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0985634{col 37}{space 2} .0076066{col 48}{space 1}   12.96{col 57}{space 3}0.000{col 65}{space 4} .0836165{col 78}{space 3} .1135102
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}  .281147{col 37}{space 2} .0786516{col 48}{space 1}    3.57{col 57}{space 3}0.000{col 65}{space 4}  .126599{col 78}{space 3}  .435695
{txt}{space 21}3  {c |}{col 25}{res}{space 2} .2576778{col 37}{space 2} .0754811{col 48}{space 1}    3.41{col 57}{space 3}0.001{col 65}{space 4} .1093596{col 78}{space 3} .4059961
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .3011982{col 37}{space 2} .0769983{col 48}{space 1}    3.91{col 57}{space 3}0.000{col 65}{space 4} .1498988{col 78}{space 3} .4524977
{txt}{space 21}5  {c |}{col 25}{res}{space 2} .2792752{col 37}{space 2} .0759956{col 48}{space 1}    3.67{col 57}{space 3}0.000{col 65}{space 4}  .129946{col 78}{space 3} .4286044
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .2880754{col 37}{space 2} .0769186{col 48}{space 1}    3.75{col 57}{space 3}0.000{col 65}{space 4} .1369326{col 78}{space 3} .4392182
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .2688755{col 37}{space 2}  .075242{col 48}{space 1}    3.57{col 57}{space 3}0.000{col 65}{space 4} .1210271{col 78}{space 3} .4167239
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .2585728{col 37}{space 2} .0783848{col 48}{space 1}    3.30{col 57}{space 3}0.001{col 65}{space 4}  .104549{col 78}{space 3} .4125966
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .0475391{col 37}{space 2} .0797042{col 48}{space 1}    0.60{col 57}{space 3}0.551{col 65}{space 4}-.1090774{col 78}{space 3} .2041555
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .44447526
                {txt}sigma_e {c |} {res} .87750541
                    {txt}rho {c |} {res} .20417896{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est10{txt} stored)

{com}. esttab using "gwp_restat_tabsom5.csv", replace b(3) se(3)  star(* 0.1 ** 0.05 *** 0.01) scalars("r2_w Within-R2 " "N_g Countries" "N_clust Country-Years")  sfmt(%12.3f %12.0f %12.0f) ///
>  noconstant label 
{res}{txt}(note: file gwp_restat_tabsom5.csv not found)
(output written to {browse  `"gwp_restat_tabsom5.csv"'})

{com}. 
. 
. *** Table SOM.6 ***
. eststo: xtreg std_lifeladder    gdpgrowth_wb                                                              $dem i. waveround if num_negyears>0, fe cluster(countryyear) nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}   547733
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}       68

{txt}R-sq:  within  = {res}0.0384                         {txt}Obs per group: min = {res}      499
{txt}       between = {res}0.0816                                        {txt}avg = {res}   8054.9
{txt}       overall = {res}0.0165                                        {txt}max = {res}    31268

                                                {txt}F({res}14{txt},{res}463{txt})          = {res}   144.37
{txt}corr(u_i, Xb)  = {res}-0.1087                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:464} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} .5583845{col 37}{space 2} .2187503{col 48}{space 1}    2.55{col 57}{space 3}0.011{col 65}{space 4} .1285181{col 78}{space 3}  .988251
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0254805{col 37}{space 2} .0007893{col 48}{space 1}  -32.28{col 57}{space 3}0.000{col 65}{space 4}-.0270316{col 78}{space 3}-.0239294
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0002017{col 37}{space 2} 7.46e-06{col 48}{space 1}   27.04{col 57}{space 3}0.000{col 65}{space 4}  .000187{col 78}{space 3} .0002163
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0455552{col 37}{space 2} .0050267{col 48}{space 1}   -9.06{col 57}{space 3}0.000{col 65}{space 4}-.0554332{col 78}{space 3}-.0356771
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1481566{col 37}{space 2} .0108402{col 48}{space 1}   13.67{col 57}{space 3}0.000{col 65}{space 4} .1268546{col 78}{space 3} .1694587
{txt}controls_education_high {c |}{col 25}{res}{space 2} .3608686{col 37}{space 2} .0149868{col 48}{space 1}   24.08{col 57}{space 3}0.000{col 65}{space 4} .3314181{col 78}{space 3} .3903192
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1372695{col 37}{space 2} .0063435{col 48}{space 1}   21.64{col 57}{space 3}0.000{col 65}{space 4} .1248039{col 78}{space 3} .1497352
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0321133{col 37}{space 2} .0309674{col 48}{space 1}   -1.04{col 57}{space 3}0.300{col 65}{space 4}-.0929674{col 78}{space 3} .0287408
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0230615{col 37}{space 2} .0278811{col 48}{space 1}   -0.83{col 57}{space 3}0.409{col 65}{space 4}-.0778506{col 78}{space 3} .0317277
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0066908{col 37}{space 2} .0334964{col 48}{space 1}    0.20{col 57}{space 3}0.842{col 65}{space 4}-.0591329{col 78}{space 3} .0725146
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0029839{col 37}{space 2} .0247455{col 48}{space 1}   -0.12{col 57}{space 3}0.904{col 65}{space 4}-.0516112{col 78}{space 3} .0456434
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0094428{col 37}{space 2} .0247371{col 48}{space 1}   -0.38{col 57}{space 3}0.703{col 65}{space 4}-.0580536{col 78}{space 3} .0391681
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0117932{col 37}{space 2} .0254408{col 48}{space 1}   -0.46{col 57}{space 3}0.643{col 65}{space 4} -.061787{col 78}{space 3} .0382007
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0139668{col 37}{space 2}  .029883{col 48}{space 1}   -0.47{col 57}{space 3}0.640{col 65}{space 4}  -.07269{col 78}{space 3} .0447563
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .6462529{col 37}{space 2} .0292263{col 48}{space 1}   22.11{col 57}{space 3}0.000{col 65}{space 4} .5888202{col 78}{space 3} .7036856
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .48640105
                {txt}sigma_e {c |} {res} .86605364
                    {txt}rho {c |} {res} .23979082{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est11{txt} stored)

{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb_neg gdpgrowth_wb_pos                 $dem i. waveround if num_negyears>0, fe cluster(countryyear) nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}   547733
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}       68

{txt}R-sq:  within  = {res}0.0389                         {txt}Obs per group: min = {res}      499
{txt}       between = {res}0.0234                                        {txt}avg = {res}   8054.9
{txt}       overall = {res}0.0229                                        {txt}max = {res}    31268

                                                {txt}F({res}15{txt},{res}463{txt})          = {res}   136.26
{txt}corr(u_i, Xb)  = {res}-0.0610                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:464} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-1.561904{col 37}{space 2} .3718043{col 48}{space 1}   -4.20{col 57}{space 3}0.000{col 65}{space 4}-2.292537{col 78}{space 3}-.8312707
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2}-.1079072{col 37}{space 2} .2736182{col 48}{space 1}   -0.39{col 57}{space 3}0.693{col 65}{space 4}-.6455944{col 78}{space 3} .4297801
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0254848{col 37}{space 2} .0007901{col 48}{space 1}  -32.26{col 57}{space 3}0.000{col 65}{space 4}-.0270373{col 78}{space 3}-.0239322
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0002018{col 37}{space 2} 7.47e-06{col 48}{space 1}   27.01{col 57}{space 3}0.000{col 65}{space 4} .0001871{col 78}{space 3} .0002165
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0453703{col 37}{space 2} .0050334{col 48}{space 1}   -9.01{col 57}{space 3}0.000{col 65}{space 4}-.0552615{col 78}{space 3}-.0354791
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2}  .150277{col 37}{space 2} .0108375{col 48}{space 1}   13.87{col 57}{space 3}0.000{col 65}{space 4} .1289801{col 78}{space 3} .1715739
{txt}controls_education_high {c |}{col 25}{res}{space 2} .3630352{col 37}{space 2} .0150054{col 48}{space 1}   24.19{col 57}{space 3}0.000{col 65}{space 4} .3335481{col 78}{space 3} .3925224
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1373201{col 37}{space 2} .0063287{col 48}{space 1}   21.70{col 57}{space 3}0.000{col 65}{space 4} .1248836{col 78}{space 3} .1497565
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0345141{col 37}{space 2} .0307229{col 48}{space 1}   -1.12{col 57}{space 3}0.262{col 65}{space 4}-.0948877{col 78}{space 3} .0258595
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0336595{col 37}{space 2} .0280574{col 48}{space 1}   -1.20{col 57}{space 3}0.231{col 65}{space 4}-.0887951{col 78}{space 3} .0214762
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0135375{col 37}{space 2} .0307593{col 48}{space 1}    0.44{col 57}{space 3}0.660{col 65}{space 4}-.0469076{col 78}{space 3} .0739825
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0146147{col 37}{space 2} .0245989{col 48}{space 1}   -0.59{col 57}{space 3}0.553{col 65}{space 4} -.062954{col 78}{space 3} .0337247
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0174432{col 37}{space 2} .0244645{col 48}{space 1}   -0.71{col 57}{space 3}0.476{col 65}{space 4}-.0655185{col 78}{space 3} .0306321
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0257495{col 37}{space 2} .0256374{col 48}{space 1}   -1.00{col 57}{space 3}0.316{col 65}{space 4}-.0761296{col 78}{space 3} .0246307
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0299679{col 37}{space 2} .0303021{col 48}{space 1}   -0.99{col 57}{space 3}0.323{col 65}{space 4}-.0895145{col 78}{space 3} .0295787
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .6809964{col 37}{space 2} .0312177{col 48}{space 1}   21.81{col 57}{space 3}0.000{col 65}{space 4} .6196505{col 78}{space 3} .7423424
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .47910588
                {txt}sigma_e {c |} {res} .86582624
                    {txt}rho {c |} {res} .23441894{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est12{txt} stored)

{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb                                                              $dem i. waveround if panel_balance07to13_min1neg==1 & year>2006, fe cluster(countryyear) nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}   295705
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.0372                         {txt}Obs per group: min = {res}     5874
{txt}       between = {res}0.2390                                        {txt}avg = {res}   9240.8
{txt}       overall = {res}0.0121                                        {txt}max = {res}    30268

                                                {txt}F({res}13{txt},{res}223{txt})          = {res}    93.53
{txt}corr(u_i, Xb)  = {res}-0.1396                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:224} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} .7295635{col 37}{space 2} .3425821{col 48}{space 1}    2.13{col 57}{space 3}0.034{col 65}{space 4} .0544511{col 78}{space 3} 1.404676
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0248259{col 37}{space 2} .0010126{col 48}{space 1}  -24.52{col 57}{space 3}0.000{col 65}{space 4}-.0268214{col 78}{space 3}-.0228303
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2}  .000201{col 37}{space 2} 9.87e-06{col 48}{space 1}   20.38{col 57}{space 3}0.000{col 65}{space 4} .0001816{col 78}{space 3} .0002205
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0400634{col 37}{space 2} .0060945{col 48}{space 1}   -6.57{col 57}{space 3}0.000{col 65}{space 4}-.0520736{col 78}{space 3}-.0280532
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1515676{col 37}{space 2} .0162644{col 48}{space 1}    9.32{col 57}{space 3}0.000{col 65}{space 4} .1195159{col 78}{space 3} .1836192
{txt}controls_education_high {c |}{col 25}{res}{space 2} .3537173{col 37}{space 2} .0216511{col 48}{space 1}   16.34{col 57}{space 3}0.000{col 65}{space 4} .3110504{col 78}{space 3} .3963842
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1420143{col 37}{space 2} .0094398{col 48}{space 1}   15.04{col 57}{space 3}0.000{col 65}{space 4} .1234118{col 78}{space 3} .1606169
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}3  {c |}{col 25}{res}{space 2} .0138753{col 37}{space 2} .0361069{col 48}{space 1}    0.38{col 57}{space 3}0.701{col 65}{space 4}-.0572792{col 78}{space 3} .0850298
{txt}{space 21}4  {c |}{col 25}{res}{space 2}  .069944{col 37}{space 2} .0491801{col 48}{space 1}    1.42{col 57}{space 3}0.156{col 65}{space 4}-.0269733{col 78}{space 3} .1668612
{txt}{space 21}5  {c |}{col 25}{res}{space 2} .0621134{col 37}{space 2} .0339167{col 48}{space 1}    1.83{col 57}{space 3}0.068{col 65}{space 4}-.0047249{col 78}{space 3} .1289517
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0511257{col 37}{space 2} .0347908{col 48}{space 1}    1.47{col 57}{space 3}0.143{col 65}{space 4}-.0174351{col 78}{space 3} .1196866
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0607307{col 37}{space 2} .0330442{col 48}{space 1}    1.84{col 57}{space 3}0.067{col 65}{space 4}-.0043881{col 78}{space 3} .1258495
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .0395722{col 37}{space 2} .0410668{col 48}{space 1}    0.96{col 57}{space 3}0.336{col 65}{space 4}-.0413565{col 78}{space 3} .1205009
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .5835145{col 37}{space 2} .0412064{col 48}{space 1}   14.16{col 57}{space 3}0.000{col 65}{space 4} .5023108{col 78}{space 3} .6647182
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .50199939
                {txt}sigma_e {c |} {res} .86771155
                    {txt}rho {c |} {res} .25076793{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est13{txt} stored)

{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb_neg gdpgrowth_wb_pos                 $dem i. waveround if panel_balance07to13_min1neg==1 & year>2006, fe cluster(countryyear) nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}   295705
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.0375                         {txt}Obs per group: min = {res}     5874
{txt}       between = {res}0.1262                                        {txt}avg = {res}   9240.8
{txt}       overall = {res}0.0177                                        {txt}max = {res}    30268

                                                {txt}F({res}14{txt},{res}223{txt})          = {res}    86.46
{txt}corr(u_i, Xb)  = {res}-0.0919                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:224} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-1.685396{col 37}{space 2} .6836795{col 48}{space 1}   -2.47{col 57}{space 3}0.014{col 65}{space 4}-3.032695{col 78}{space 3} -.338097
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2}  .252817{col 37}{space 2} .3604825{col 48}{space 1}    0.70{col 57}{space 3}0.484{col 65}{space 4} -.457571{col 78}{space 3} .9632051
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0248348{col 37}{space 2}  .001014{col 48}{space 1}  -24.49{col 57}{space 3}0.000{col 65}{space 4} -.026833{col 78}{space 3}-.0228367
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0002011{col 37}{space 2} 9.89e-06{col 48}{space 1}   20.33{col 57}{space 3}0.000{col 65}{space 4} .0001816{col 78}{space 3} .0002206
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0398271{col 37}{space 2} .0061028{col 48}{space 1}   -6.53{col 57}{space 3}0.000{col 65}{space 4}-.0518536{col 78}{space 3}-.0278006
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1528107{col 37}{space 2} .0162346{col 48}{space 1}    9.41{col 57}{space 3}0.000{col 65}{space 4} .1208179{col 78}{space 3} .1848035
{txt}controls_education_high {c |}{col 25}{res}{space 2} .3546513{col 37}{space 2} .0216923{col 48}{space 1}   16.35{col 57}{space 3}0.000{col 65}{space 4} .3119031{col 78}{space 3} .3973995
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1420811{col 37}{space 2} .0094327{col 48}{space 1}   15.06{col 57}{space 3}0.000{col 65}{space 4} .1234925{col 78}{space 3} .1606696
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}3  {c |}{col 25}{res}{space 2} .0117452{col 37}{space 2} .0361541{col 48}{space 1}    0.32{col 57}{space 3}0.746{col 65}{space 4}-.0595021{col 78}{space 3} .0829926
{txt}{space 21}4  {c |}{col 25}{res}{space 2}  .088408{col 37}{space 2} .0486702{col 48}{space 1}    1.82{col 57}{space 3}0.071{col 65}{space 4}-.0075044{col 78}{space 3} .1843203
{txt}{space 21}5  {c |}{col 25}{res}{space 2} .0579204{col 37}{space 2} .0339542{col 48}{space 1}    1.71{col 57}{space 3}0.089{col 65}{space 4}-.0089917{col 78}{space 3} .1248324
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0468304{col 37}{space 2} .0348513{col 48}{space 1}    1.34{col 57}{space 3}0.180{col 65}{space 4}-.0218496{col 78}{space 3} .1155105
{txt}{space 21}7  {c |}{col 25}{res}{space 2}  .053369{col 37}{space 2} .0332382{col 48}{space 1}    1.61{col 57}{space 3}0.110{col 65}{space 4}-.0121322{col 78}{space 3} .1188702
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .0315976{col 37}{space 2} .0411645{col 48}{space 1}    0.77{col 57}{space 3}0.444{col 65}{space 4}-.0495236{col 78}{space 3} .1127189
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .6065029{col 37}{space 2} .0425594{col 48}{space 1}   14.25{col 57}{space 3}0.000{col 65}{space 4} .5226328{col 78}{space 3}  .690373
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .49395218
                {txt}sigma_e {c |} {res}   .867554
                    {txt}rho {c |} {res} .24481164{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est14{txt} stored)

{com}. esttab using "gwp_restat_tabsom6.csv", replace b(3) se(3)  star(* 0.1 ** 0.05 *** 0.01) scalars("r2_w Within-R2 " "N_g Countries" "N_clust Country-Years")  sfmt(%12.3f %12.0f %12.0f) ///
>  noconstant label 
{res}{txt}(note: file gwp_restat_tabsom6.csv not found)
(output written to {browse  `"gwp_restat_tabsom6.csv"'})

{com}. 
. 
. *** Table SOM.7 ***
. eststo clear
{txt}
{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb econexpec_better econexpec_worse                                                                                                                            $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}   957023
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      152

{txt}R-sq:  within  = {res}0.0521                         {txt}Obs per group: min = {res}      490
{txt}       between = {res}0.0134                                        {txt}avg = {res}   6296.2
{txt}       overall = {res}0.0407                                        {txt}max = {res}    31501

                                                {txt}F({res}16{txt},{res}824{txt})          = {res}   323.39
{txt}corr(u_i, Xb)  = {res}-0.0307                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:825} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} .2038758{col 37}{space 2} .1518024{col 48}{space 1}    1.34{col 57}{space 3}0.180{col 65}{space 4} -.094089{col 78}{space 3} .5018406
{txt}{space 7}econexpec_better {c |}{col 25}{res}{space 2} .1351462{col 37}{space 2} .0058044{col 48}{space 1}   23.28{col 57}{space 3}0.000{col 65}{space 4} .1237532{col 78}{space 3} .1465393
{txt}{space 8}econexpec_worse {c |}{col 25}{res}{space 2}-.1589052{col 37}{space 2} .0060597{col 48}{space 1}  -26.22{col 57}{space 3}0.000{col 65}{space 4}-.1707996{col 78}{space 3}-.1470108
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0179879{col 37}{space 2} .0006969{col 48}{space 1}  -25.81{col 57}{space 3}0.000{col 65}{space 4}-.0193559{col 78}{space 3}  -.01662
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001424{col 37}{space 2} 6.69e-06{col 48}{space 1}   21.30{col 57}{space 3}0.000{col 65}{space 4} .0001293{col 78}{space 3} .0001556
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0450432{col 37}{space 2} .0035536{col 48}{space 1}  -12.68{col 57}{space 3}0.000{col 65}{space 4}-.0520183{col 78}{space 3} -.038068
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .2021052{col 37}{space 2} .0076504{col 48}{space 1}   26.42{col 57}{space 3}0.000{col 65}{space 4} .1870886{col 78}{space 3} .2171217
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4180214{col 37}{space 2}  .010262{col 48}{space 1}   40.73{col 57}{space 3}0.000{col 65}{space 4} .3978787{col 78}{space 3} .4381642
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0928373{col 37}{space 2} .0043667{col 48}{space 1}   21.26{col 57}{space 3}0.000{col 65}{space 4} .0842661{col 78}{space 3} .1014086
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0038412{col 37}{space 2} .0225061{col 48}{space 1}   -0.17{col 57}{space 3}0.865{col 65}{space 4}-.0480173{col 78}{space 3} .0403348
{txt}{space 21}3  {c |}{col 25}{res}{space 2} .0039537{col 37}{space 2} .0217041{col 48}{space 1}    0.18{col 57}{space 3}0.855{col 65}{space 4} -.038648{col 78}{space 3} .0465555
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0281782{col 37}{space 2} .0227637{col 48}{space 1}    1.24{col 57}{space 3}0.216{col 65}{space 4}-.0165036{col 78}{space 3} .0728599
{txt}{space 21}5  {c |}{col 25}{res}{space 2} .0145876{col 37}{space 2} .0197591{col 48}{space 1}    0.74{col 57}{space 3}0.461{col 65}{space 4}-.0241965{col 78}{space 3} .0533717
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0037327{col 37}{space 2} .0275807{col 48}{space 1}   -0.14{col 57}{space 3}0.892{col 65}{space 4}-.0578694{col 78}{space 3}  .050404
{txt}{space 21}7  {c |}{col 25}{res}{space 2}  .007213{col 37}{space 2}  .020187{col 48}{space 1}    0.36{col 57}{space 3}0.721{col 65}{space 4} -.032411{col 78}{space 3}  .046837
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .0077932{col 37}{space 2} .0218152{col 48}{space 1}    0.36{col 57}{space 3}0.721{col 65}{space 4}-.0350266{col 78}{space 3}  .050613
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .2357791{col 37}{space 2} .0252235{col 48}{space 1}    9.35{col 57}{space 3}0.000{col 65}{space 4} .1862692{col 78}{space 3}  .285289
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .49162798
                {txt}sigma_e {c |} {res} .86025984
                    {txt}rho {c |} {res}  .2461923{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est1{txt} stored)

{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb_neg gdpgrowth_wb_pos econexpec_better econexpec_worse                       $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}   957023
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      152

{txt}R-sq:  within  = {res}0.0522                         {txt}Obs per group: min = {res}      490
{txt}       between = {res}0.0234                                        {txt}avg = {res}   6296.2
{txt}       overall = {res}0.0431                                        {txt}max = {res}    31501

                                                {txt}F({res}17{txt},{res}824{txt})          = {res}   305.05
{txt}corr(u_i, Xb)  = {res}-0.0163                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:825} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-.7829469{col 37}{space 2}  .310793{col 48}{space 1}   -2.52{col 57}{space 3}0.012{col 65}{space 4}-1.392986{col 78}{space 3}-.1729078
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2}-.0591178{col 37}{space 2} .1921022{col 48}{space 1}   -0.31{col 57}{space 3}0.758{col 65}{space 4}-.4361851{col 78}{space 3} .3179495
{txt}{space 7}econexpec_better {c |}{col 25}{res}{space 2} .1354561{col 37}{space 2} .0058106{col 48}{space 1}   23.31{col 57}{space 3}0.000{col 65}{space 4} .1240507{col 78}{space 3} .1468615
{txt}{space 8}econexpec_worse {c |}{col 25}{res}{space 2}-.1581594{col 37}{space 2} .0060244{col 48}{space 1}  -26.25{col 57}{space 3}0.000{col 65}{space 4}-.1699845{col 78}{space 3}-.1463344
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2} -.017996{col 37}{space 2} .0006975{col 48}{space 1}  -25.80{col 57}{space 3}0.000{col 65}{space 4}-.0193651{col 78}{space 3}-.0166269
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001426{col 37}{space 2} 6.69e-06{col 48}{space 1}   21.30{col 57}{space 3}0.000{col 65}{space 4} .0001294{col 78}{space 3} .0001557
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0449853{col 37}{space 2} .0035555{col 48}{space 1}  -12.65{col 57}{space 3}0.000{col 65}{space 4}-.0519643{col 78}{space 3}-.0380063
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .2025863{col 37}{space 2} .0076168{col 48}{space 1}   26.60{col 57}{space 3}0.000{col 65}{space 4} .1876358{col 78}{space 3} .2175369
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4186066{col 37}{space 2}  .010221{col 48}{space 1}   40.96{col 57}{space 3}0.000{col 65}{space 4} .3985443{col 78}{space 3} .4386688
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0929283{col 37}{space 2} .0043722{col 48}{space 1}   21.25{col 57}{space 3}0.000{col 65}{space 4} .0843464{col 78}{space 3} .1015102
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0045267{col 37}{space 2}  .022489{col 48}{space 1}   -0.20{col 57}{space 3}0.841{col 65}{space 4}-.0486691{col 78}{space 3} .0396157
{txt}{space 21}3  {c |}{col 25}{res}{space 2} .0008597{col 37}{space 2} .0217237{col 48}{space 1}    0.04{col 57}{space 3}0.968{col 65}{space 4}-.0417806{col 78}{space 3}    .0435
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0293324{col 37}{space 2}  .022622{col 48}{space 1}    1.30{col 57}{space 3}0.195{col 65}{space 4}-.0150711{col 78}{space 3} .0737359
{txt}{space 21}5  {c |}{col 25}{res}{space 2} .0112681{col 37}{space 2} .0198084{col 48}{space 1}    0.57{col 57}{space 3}0.570{col 65}{space 4}-.0276128{col 78}{space 3}  .050149
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0056791{col 37}{space 2} .0274572{col 48}{space 1}   -0.21{col 57}{space 3}0.836{col 65}{space 4}-.0595734{col 78}{space 3} .0482152
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0020182{col 37}{space 2} .0202309{col 48}{space 1}    0.10{col 57}{space 3}0.921{col 65}{space 4}-.0376921{col 78}{space 3} .0417284
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .0018637{col 37}{space 2} .0218859{col 48}{space 1}    0.09{col 57}{space 3}0.932{col 65}{space 4}-.0410949{col 78}{space 3} .0448224
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .2523883{col 37}{space 2} .0271645{col 48}{space 1}    9.29{col 57}{space 3}0.000{col 65}{space 4} .1990686{col 78}{space 3} .3057081
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .48861718
                {txt}sigma_e {c |} {res} .86021163
                    {txt}rho {c |} {res} .24394004{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est2{txt} stored)

{com}. esttab using "gwp_restat_tabsom7.csv", replace b(3) se(3) r2(3) star(* 0.1 ** 0.05 *** 0.01) scalars("r2_w Within-R2 " "N_g Countries" "N_clust Country-Years")  sfmt(%12.3f %12.0f %12.0f) ///
>  noconstant label order(gdpgrowth_wb gdpgrowth_wb_neg gdpgrowth_wb_pos  )
{res}{txt}(note: file gwp_restat_tabsom7.csv not found)
(output written to {browse  `"gwp_restat_tabsom7.csv"'})

{com}. 
. *** Table SOM.8 ***
. replace wbhhconumptionpcgrowth = wbhhconumptionpcgrowth/100
{txt}(998,873 real changes made)

{com}. eststo clear
{txt}
{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb                             wbhhconumptionpcgrowth                                                                                                                  $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}   974778
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      131

{txt}R-sq:  within  = {res}0.0353                         {txt}Obs per group: min = {res}      491
{txt}       between = {res}0.0132                                        {txt}avg = {res}   7441.1
{txt}       overall = {res}0.0291                                        {txt}max = {res}    36772

                                                {txt}F({res}15{txt},{res}800{txt})          = {res}   201.51
{txt}corr(u_i, Xb)  = {res}-0.0060                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:801} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} .6133951{col 37}{space 2} .2182636{col 48}{space 1}    2.81{col 57}{space 3}0.005{col 65}{space 4} .1849582{col 78}{space 3} 1.041832
{txt}{space 1}wbhhconumptionpcgrowth {c |}{col 25}{res}{space 2}-5.395116{col 37}{space 2} 9.163952{col 48}{space 1}   -0.59{col 57}{space 3}0.556{col 65}{space 4}-23.38335{col 78}{space 3} 12.59311
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0211656{col 37}{space 2} .0007114{col 48}{space 1}  -29.75{col 57}{space 3}0.000{col 65}{space 4} -.022562{col 78}{space 3}-.0197692
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001725{col 37}{space 2} 6.82e-06{col 48}{space 1}   25.30{col 57}{space 3}0.000{col 65}{space 4} .0001591{col 78}{space 3} .0001858
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0376789{col 37}{space 2} .0031786{col 48}{space 1}  -11.85{col 57}{space 3}0.000{col 65}{space 4}-.0439183{col 78}{space 3}-.0314395
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1955032{col 37}{space 2}  .008755{col 48}{space 1}   22.33{col 57}{space 3}0.000{col 65}{space 4} .1783177{col 78}{space 3} .2126886
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4126096{col 37}{space 2} .0120225{col 48}{space 1}   34.32{col 57}{space 3}0.000{col 65}{space 4} .3890103{col 78}{space 3} .4362089
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1108924{col 37}{space 2} .0056137{col 48}{space 1}   19.75{col 57}{space 3}0.000{col 65}{space 4}  .099873{col 78}{space 3} .1219117
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0108046{col 37}{space 2} .0248847{col 48}{space 1}   -0.43{col 57}{space 3}0.664{col 65}{space 4}-.0596515{col 78}{space 3} .0380424
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0387693{col 37}{space 2} .0242168{col 48}{space 1}   -1.60{col 57}{space 3}0.110{col 65}{space 4}-.0863052{col 78}{space 3} .0087667
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0049663{col 37}{space 2} .0275885{col 48}{space 1}   -0.18{col 57}{space 3}0.857{col 65}{space 4}-.0591206{col 78}{space 3}  .049188
{txt}{space 21}5  {c |}{col 25}{res}{space 2} -.019849{col 37}{space 2} .0219956{col 48}{space 1}   -0.90{col 57}{space 3}0.367{col 65}{space 4} -.063025{col 78}{space 3} .0233269
{txt}{space 21}6  {c |}{col 25}{res}{space 2} -.008097{col 37}{space 2} .0221129{col 48}{space 1}   -0.37{col 57}{space 3}0.714{col 65}{space 4}-.0515032{col 78}{space 3} .0353093
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0278569{col 37}{space 2} .0226435{col 48}{space 1}   -1.23{col 57}{space 3}0.219{col 65}{space 4}-.0723046{col 78}{space 3} .0165909
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0412858{col 37}{space 2} .0247584{col 48}{space 1}   -1.67{col 57}{space 3}0.096{col 65}{space 4} -.089885{col 78}{space 3} .0073134
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .3711111{col 37}{space 2} .0277131{col 48}{space 1}   13.39{col 57}{space 3}0.000{col 65}{space 4} .3167122{col 78}{space 3} .4255101
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .48829378
                {txt}sigma_e {c |} {res}  .8679571
                    {txt}rho {c |} {res} .24040688{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est1{txt} stored)

{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb_neg gdpgrowth_wb_pos        wbhhconumptionpcgrowth                                                                                                                  $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}   974778
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      131

{txt}R-sq:  within  = {res}0.0355                         {txt}Obs per group: min = {res}      491
{txt}       between = {res}0.0287                                        {txt}avg = {res}   7441.1
{txt}       overall = {res}0.0324                                        {txt}max = {res}    36772

                                                {txt}F({res}16{txt},{res}800{txt})          = {res}   189.67
{txt}corr(u_i, Xb)  = {res}0.0142                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:801} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-1.432439{col 37}{space 2} .4602209{col 48}{space 1}   -3.11{col 57}{space 3}0.002{col 65}{space 4}-2.335823{col 78}{space 3}-.5290562
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .3321086{col 37}{space 2} .2274103{col 48}{space 1}    1.46{col 57}{space 3}0.145{col 65}{space 4}-.1142828{col 78}{space 3}    .7785
{txt}{space 1}wbhhconumptionpcgrowth {c |}{col 25}{res}{space 2}-8.122911{col 37}{space 2}  9.29369{col 48}{space 1}   -0.87{col 57}{space 3}0.382{col 65}{space 4}-26.36581{col 78}{space 3} 10.11999
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0211601{col 37}{space 2} .0007112{col 48}{space 1}  -29.75{col 57}{space 3}0.000{col 65}{space 4}-.0225561{col 78}{space 3}-.0197641
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001725{col 37}{space 2} 6.81e-06{col 48}{space 1}   25.31{col 57}{space 3}0.000{col 65}{space 4} .0001591{col 78}{space 3} .0001859
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0376259{col 37}{space 2} .0031816{col 48}{space 1}  -11.83{col 57}{space 3}0.000{col 65}{space 4}-.0438712{col 78}{space 3}-.0313806
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2}  .196278{col 37}{space 2} .0087121{col 48}{space 1}   22.53{col 57}{space 3}0.000{col 65}{space 4} .1791767{col 78}{space 3} .2133794
{txt}controls_education_high {c |}{col 25}{res}{space 2}  .413529{col 37}{space 2} .0119768{col 48}{space 1}   34.53{col 57}{space 3}0.000{col 65}{space 4} .3900194{col 78}{space 3} .4370385
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1107096{col 37}{space 2} .0056049{col 48}{space 1}   19.75{col 57}{space 3}0.000{col 65}{space 4} .0997076{col 78}{space 3} .1217116
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0109244{col 37}{space 2} .0248833{col 48}{space 1}   -0.44{col 57}{space 3}0.661{col 65}{space 4}-.0597687{col 78}{space 3} .0379198
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0418372{col 37}{space 2}  .024223{col 48}{space 1}   -1.73{col 57}{space 3}0.085{col 65}{space 4}-.0893854{col 78}{space 3} .0057109
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0006895{col 37}{space 2} .0274764{col 48}{space 1}   -0.03{col 57}{space 3}0.980{col 65}{space 4}-.0546238{col 78}{space 3} .0532448
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0239152{col 37}{space 2} .0220627{col 48}{space 1}   -1.08{col 57}{space 3}0.279{col 65}{space 4}-.0672229{col 78}{space 3} .0193925
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0130007{col 37}{space 2} .0221141{col 48}{space 1}   -0.59{col 57}{space 3}0.557{col 65}{space 4}-.0564092{col 78}{space 3} .0304078
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0345346{col 37}{space 2}  .022596{col 48}{space 1}   -1.53{col 57}{space 3}0.127{col 65}{space 4} -.078889{col 78}{space 3} .0098198
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0477562{col 37}{space 2} .0247386{col 48}{space 1}   -1.93{col 57}{space 3}0.054{col 65}{space 4}-.0963165{col 78}{space 3} .0008041
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .3897434{col 37}{space 2} .0290529{col 48}{space 1}   13.41{col 57}{space 3}0.000{col 65}{space 4} .3327144{col 78}{space 3} .4467724
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .48528526
                {txt}sigma_e {c |} {res} .86789346
                    {txt}rho {c |} {res} .23818353{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est2{txt} stored)

{com}. esttab using "gwp_restat_tabsom8.csv", replace b(3) se(3) r2(3) star(* 0.1 ** 0.05 *** 0.01) scalars("r2_w Within-R2 " "N_g Countries" "N_clust Country-Years")  sfmt(%12.3f %12.0f %12.0f) ///
>  noconstant label order(gdpgrowth_wb gdpgrowth_wb_neg gdpgrowth_wb_pos  )
{res}{txt}(note: file gwp_restat_tabsom8.csv not found)
(output written to {browse  `"gwp_restat_tabsom8.csv"'})

{com}. 
. 
. 
. *** Table SOM.9 ***
. reg std_lifeladder    gdpgrowth_wb_neg gdpgrowth_wb_pos                 finsat_gettingby         finsat_difficult       finsat_verydifficult 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res} 1,011,941
{txt}{hline 13}{c +}{hline 34}   F(5, 1011935)   = {res} 43635.88
{txt}       Model {c |} {res} 176284.048         5  35256.8097   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 817620.723 1,011,935  .807977512   {txt}R-squared       ={res}    0.1774
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1774
{txt}       Total {c |} {res} 993904.772 1,011,940  .982177572   {txt}Root MSE        =   {res} .89888

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      std_lifeladder{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      t{col 54}   P>|t|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}gdpgrowth_wb_neg {c |}{col 22}{res}{space 2}-.7877608{col 34}{space 2} .0544024{col 45}{space 1}  -14.48{col 54}{space 3}0.000{col 62}{space 4}-.8943876{col 75}{space 3} -.681134
{txt}{space 4}gdpgrowth_wb_pos {c |}{col 22}{res}{space 2}-1.701411{col 34}{space 2}  .019667{col 45}{space 1}  -86.51{col 54}{space 3}0.000{col 62}{space 4}-1.739958{col 75}{space 3}-1.662865
{txt}{space 4}finsat_gettingby {c |}{col 22}{res}{space 2} -.453759{col 34}{space 2} .0024584{col 45}{space 1} -184.58{col 54}{space 3}0.000{col 62}{space 4}-.4585773{col 75}{space 3}-.4489406
{txt}{space 4}finsat_difficult {c |}{col 22}{res}{space 2}-.8775502{col 34}{space 2} .0027094{col 45}{space 1} -323.89{col 54}{space 3}0.000{col 62}{space 4}-.8828605{col 75}{space 3}  -.87224
{txt}finsat_verydifficult {c |}{col 22}{res}{space 2}-1.283145{col 34}{space 2} .0031072{col 45}{space 1} -412.95{col 54}{space 3}0.000{col 62}{space 4}-1.289236{col 75}{space 3}-1.277055
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .6602516{col 34}{space 2}  .002216{col 45}{space 1}  297.95{col 54}{space 3}0.000{col 62}{space 4} .6559083{col 75}{space 3} .6645948
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. gen sam = e(sample)
{txt}
{com}. eststo clear
{txt}
{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb                                                                                                                                                     $dem i. waveround if sam==1, fe cluster(countryyear) nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1011941
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      155

{txt}R-sq:  within  = {res}0.0369                         {txt}Obs per group: min = {res}      387
{txt}       between = {res}0.0493                                        {txt}avg = {res}   6528.7
{txt}       overall = {res}0.0383                                        {txt}max = {res}    34525

                                                {txt}F({res}14{txt},{res}854{txt})          = {res}   256.52
{txt}corr(u_i, Xb)  = {res}0.0341                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:855} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} .6434973{col 37}{space 2} .1841983{col 48}{space 1}    3.49{col 57}{space 3}0.001{col 65}{space 4} .2819629{col 78}{space 3} 1.005032
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0193763{col 37}{space 2} .0007156{col 48}{space 1}  -27.08{col 57}{space 3}0.000{col 65}{space 4} -.020781{col 78}{space 3}-.0179717
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001582{col 37}{space 2} 6.80e-06{col 48}{space 1}   23.25{col 57}{space 3}0.000{col 65}{space 4} .0001448{col 78}{space 3} .0001716
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0385063{col 37}{space 2} .0034776{col 48}{space 1}  -11.07{col 57}{space 3}0.000{col 65}{space 4}-.0453319{col 78}{space 3}-.0316807
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .2205279{col 37}{space 2} .0073647{col 48}{space 1}   29.94{col 57}{space 3}0.000{col 65}{space 4} .2060729{col 78}{space 3}  .234983
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4431309{col 37}{space 2} .0103835{col 48}{space 1}   42.68{col 57}{space 3}0.000{col 65}{space 4} .4227508{col 78}{space 3} .4635111
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0986014{col 37}{space 2} .0049165{col 48}{space 1}   20.06{col 57}{space 3}0.000{col 65}{space 4} .0889516{col 78}{space 3} .1082512
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2} .0351083{col 37}{space 2} .0667993{col 48}{space 1}    0.53{col 57}{space 3}0.599{col 65}{space 4}-.0960018{col 78}{space 3} .1662183
{txt}{space 21}3  {c |}{col 25}{res}{space 2}  .014003{col 37}{space 2} .0666005{col 48}{space 1}    0.21{col 57}{space 3}0.834{col 65}{space 4}-.1167169{col 78}{space 3} .1447228
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0577864{col 37}{space 2} .0672313{col 48}{space 1}    0.86{col 57}{space 3}0.390{col 65}{space 4}-.0741715{col 78}{space 3} .1897443
{txt}{space 21}5  {c |}{col 25}{res}{space 2} .0381573{col 37}{space 2}  .065298{col 48}{space 1}    0.58{col 57}{space 3}0.559{col 65}{space 4}-.0900061{col 78}{space 3} .1663208
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0466224{col 37}{space 2} .0651988{col 48}{space 1}    0.72{col 57}{space 3}0.475{col 65}{space 4}-.0813463{col 78}{space 3} .1745911
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0216535{col 37}{space 2} .0659884{col 48}{space 1}    0.33{col 57}{space 3}0.743{col 65}{space 4}-.1078649{col 78}{space 3} .1511719
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .0166965{col 37}{space 2} .0659845{col 48}{space 1}    0.25{col 57}{space 3}0.800{col 65}{space 4}-.1128143{col 78}{space 3} .1462073
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .1979785{col 37}{space 2}  .066837{col 48}{space 1}    2.96{col 57}{space 3}0.003{col 65}{space 4} .0667945{col 78}{space 3} .3291625
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .47241529
                {txt}sigma_e {c |} {res} .86392029
                    {txt}rho {c |} {res} .23018903{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est1{txt} stored)

{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb_neg gdpgrowth_wb_pos                                                                                                        $dem i. waveround if sam==1, fe cluster(countryyear) nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1011941
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      155

{txt}R-sq:  within  = {res}0.0370                         {txt}Obs per group: min = {res}      387
{txt}       between = {res}0.0918                                        {txt}avg = {res}   6528.7
{txt}       overall = {res}0.0414                                        {txt}max = {res}    34525

                                                {txt}F({res}15{txt},{res}854{txt})          = {res}   240.68
{txt}corr(u_i, Xb)  = {res}0.0537                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:855} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2} -1.21193{col 37}{space 2}  .364349{col 48}{space 1}   -3.33{col 57}{space 3}0.001{col 65}{space 4}-1.927054{col 78}{space 3}-.4968051
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .3709417{col 37}{space 2} .2232991{col 48}{space 1}    1.66{col 57}{space 3}0.097{col 65}{space 4}-.0673377{col 78}{space 3}  .809221
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0193698{col 37}{space 2} .0007156{col 48}{space 1}  -27.07{col 57}{space 3}0.000{col 65}{space 4}-.0207743{col 78}{space 3}-.0179654
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001582{col 37}{space 2} 6.80e-06{col 48}{space 1}   23.26{col 57}{space 3}0.000{col 65}{space 4} .0001448{col 78}{space 3} .0001715
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0384298{col 37}{space 2} .0034779{col 48}{space 1}  -11.05{col 57}{space 3}0.000{col 65}{space 4} -.045256{col 78}{space 3}-.0316035
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .2208371{col 37}{space 2} .0073445{col 48}{space 1}   30.07{col 57}{space 3}0.000{col 65}{space 4} .2064217{col 78}{space 3} .2352525
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4434684{col 37}{space 2} .0103671{col 48}{space 1}   42.78{col 57}{space 3}0.000{col 65}{space 4} .4231204{col 78}{space 3} .4638163
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0984648{col 37}{space 2} .0049166{col 48}{space 1}   20.03{col 57}{space 3}0.000{col 65}{space 4} .0888148{col 78}{space 3} .1081148
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2} .0321703{col 37}{space 2} .0667786{col 48}{space 1}    0.48{col 57}{space 3}0.630{col 65}{space 4}-.0988991{col 78}{space 3} .1632398
{txt}{space 21}3  {c |}{col 25}{res}{space 2} .0076761{col 37}{space 2} .0666941{col 48}{space 1}    0.12{col 57}{space 3}0.908{col 65}{space 4}-.1232275{col 78}{space 3} .1385797
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0550686{col 37}{space 2} .0670743{col 48}{space 1}    0.82{col 57}{space 3}0.412{col 65}{space 4}-.0765811{col 78}{space 3} .1867183
{txt}{space 21}5  {c |}{col 25}{res}{space 2} .0319074{col 37}{space 2} .0653623{col 48}{space 1}    0.49{col 57}{space 3}0.626{col 65}{space 4}-.0963822{col 78}{space 3}  .160197
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0399898{col 37}{space 2} .0652368{col 48}{space 1}    0.61{col 57}{space 3}0.540{col 65}{space 4}-.0880534{col 78}{space 3}  .168033
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0131793{col 37}{space 2} .0660881{col 48}{space 1}    0.20{col 57}{space 3}0.842{col 65}{space 4}-.1165348{col 78}{space 3} .1428934
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .0077077{col 37}{space 2} .0660902{col 48}{space 1}    0.12{col 57}{space 3}0.907{col 65}{space 4}-.1220105{col 78}{space 3} .1374258
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .2185827{col 37}{space 2}  .067871{col 48}{space 1}    3.22{col 57}{space 3}0.001{col 65}{space 4} .0853693{col 78}{space 3} .3517961
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res}   .468303
                {txt}sigma_e {c |} {res} .86387599
                    {txt}rho {c |} {res} .22712313{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est2{txt} stored)

{com}. eststo: xtreg std_lifeladder    finsat_gettingby         finsat_difficult       finsat_verydifficult                                                                                                                                     $dem i. waveround if sam==1, fe cluster(countryyear) nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1011941
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      155

{txt}R-sq:  within  = {res}0.1246                         {txt}Obs per group: min = {res}      387
{txt}       between = {res}0.6499                                        {txt}avg = {res}   6528.7
{txt}       overall = {res}0.1823                                        {txt}max = {res}    34525

                                                {txt}F({res}16{txt},{res}854{txt})          = {res}   440.10
{txt}corr(u_i, Xb)  = {res}0.2424                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:855} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}finsat_gettingby {c |}{col 25}{res}{space 2}-.3169742{col 37}{space 2} .0065855{col 48}{space 1}  -48.13{col 57}{space 3}0.000{col 65}{space 4}   -.3299{col 78}{space 3}-.3040485
{txt}{space 7}finsat_difficult {c |}{col 25}{res}{space 2}-.6181373{col 37}{space 2}  .009997{col 48}{space 1}  -61.83{col 57}{space 3}0.000{col 65}{space 4} -.637759{col 78}{space 3}-.5985157
{txt}{space 3}finsat_verydifficult {c |}{col 25}{res}{space 2}-.9163205{col 37}{space 2} .0140075{col 48}{space 1}  -65.42{col 57}{space 3}0.000{col 65}{space 4}-.9438137{col 78}{space 3}-.8888273
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0141092{col 37}{space 2}  .000554{col 48}{space 1}  -25.47{col 57}{space 3}0.000{col 65}{space 4}-.0151964{col 78}{space 3}-.0130219
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001082{col 37}{space 2} 5.35e-06{col 48}{space 1}   20.23{col 57}{space 3}0.000{col 65}{space 4} .0000977{col 78}{space 3} .0001187
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0509538{col 37}{space 2} .0031923{col 48}{space 1}  -15.96{col 57}{space 3}0.000{col 65}{space 4}-.0572196{col 78}{space 3}-.0446881
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1343869{col 37}{space 2} .0057883{col 48}{space 1}   23.22{col 57}{space 3}0.000{col 65}{space 4} .1230259{col 78}{space 3}  .145748
{txt}controls_education_high {c |}{col 25}{res}{space 2} .2647506{col 37}{space 2} .0079199{col 48}{space 1}   33.43{col 57}{space 3}0.000{col 65}{space 4} .2492059{col 78}{space 3} .2802953
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0711999{col 37}{space 2} .0039318{col 48}{space 1}   18.11{col 57}{space 3}0.000{col 65}{space 4} .0634828{col 78}{space 3}  .078917
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2} .0492221{col 37}{space 2} .0568373{col 48}{space 1}    0.87{col 57}{space 3}0.387{col 65}{space 4} -.062335{col 78}{space 3} .1607792
{txt}{space 21}3  {c |}{col 25}{res}{space 2} .0353191{col 37}{space 2} .0564405{col 48}{space 1}    0.63{col 57}{space 3}0.532{col 65}{space 4}-.0754591{col 78}{space 3} .1460974
{txt}{space 21}4  {c |}{col 25}{res}{space 2}  .064725{col 37}{space 2} .0555385{col 48}{space 1}    1.17{col 57}{space 3}0.244{col 65}{space 4}-.0442829{col 78}{space 3} .1737329
{txt}{space 21}5  {c |}{col 25}{res}{space 2} .0688365{col 37}{space 2} .0553347{col 48}{space 1}    1.24{col 57}{space 3}0.214{col 65}{space 4}-.0397715{col 78}{space 3} .1774445
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0565554{col 37}{space 2} .0550976{col 48}{space 1}    1.03{col 57}{space 3}0.305{col 65}{space 4}-.0515873{col 78}{space 3} .1646981
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0318544{col 37}{space 2} .0554902{col 48}{space 1}    0.57{col 57}{space 3}0.566{col 65}{space 4}-.0770588{col 78}{space 3} .1407677
{txt}{space 21}8  {c |}{col 25}{res}{space 2}  .030783{col 37}{space 2} .0556367{col 48}{space 1}    0.55{col 57}{space 3}0.580{col 65}{space 4}-.0784178{col 78}{space 3} .1399838
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .5999028{col 37}{space 2} .0557814{col 48}{space 1}   10.75{col 57}{space 3}0.000{col 65}{space 4}  .490418{col 78}{space 3} .7093876
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .38142438
                {txt}sigma_e {c |} {res}  .8236408
                    {txt}rho {c |} {res} .17658706{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est3{txt} stored)

{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb                                    finsat_gettingby         finsat_difficult       finsat_verydifficult                                                                                                             $dem i. waveround if sam==1, fe cluster(countryyear) nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1011941
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      155

{txt}R-sq:  within  = {res}0.1248                         {txt}Obs per group: min = {res}      387
{txt}       between = {res}0.5623                                        {txt}avg = {res}   6528.7
{txt}       overall = {res}0.1770                                        {txt}max = {res}    34525

                                                {txt}F({res}17{txt},{res}854{txt})          = {res}   417.91
{txt}corr(u_i, Xb)  = {res}0.2222                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:855} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} .4707541{col 37}{space 2} .1507633{col 48}{space 1}    3.12{col 57}{space 3}0.002{col 65}{space 4} .1748442{col 78}{space 3}  .766664
{txt}{space 7}finsat_gettingby {c |}{col 25}{res}{space 2}-.3163488{col 37}{space 2} .0065936{col 48}{space 1}  -47.98{col 57}{space 3}0.000{col 65}{space 4}-.3292905{col 78}{space 3}-.3034071
{txt}{space 7}finsat_difficult {c |}{col 25}{res}{space 2} -.617409{col 37}{space 2} .0099936{col 48}{space 1}  -61.78{col 57}{space 3}0.000{col 65}{space 4} -.637024{col 78}{space 3}-.5977941
{txt}{space 3}finsat_verydifficult {c |}{col 25}{res}{space 2}-.9152057{col 37}{space 2} .0139879{col 48}{space 1}  -65.43{col 57}{space 3}0.000{col 65}{space 4}-.9426604{col 78}{space 3}-.8877509
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0141335{col 37}{space 2}  .000553{col 48}{space 1}  -25.56{col 57}{space 3}0.000{col 65}{space 4} -.015219{col 78}{space 3} -.013048
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001084{col 37}{space 2} 5.35e-06{col 48}{space 1}   20.26{col 57}{space 3}0.000{col 65}{space 4} .0000979{col 78}{space 3} .0001189
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0509754{col 37}{space 2}  .003191{col 48}{space 1}  -15.97{col 57}{space 3}0.000{col 65}{space 4}-.0572386{col 78}{space 3}-.0447123
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1341409{col 37}{space 2} .0057415{col 48}{space 1}   23.36{col 57}{space 3}0.000{col 65}{space 4} .1228718{col 78}{space 3}   .14541
{txt}controls_education_high {c |}{col 25}{res}{space 2} .2644714{col 37}{space 2} .0078779{col 48}{space 1}   33.57{col 57}{space 3}0.000{col 65}{space 4} .2490091{col 78}{space 3} .2799337
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0715057{col 37}{space 2} .0039321{col 48}{space 1}   18.19{col 57}{space 3}0.000{col 65}{space 4} .0637881{col 78}{space 3} .0792234
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}  .054033{col 37}{space 2} .0569992{col 48}{space 1}    0.95{col 57}{space 3}0.343{col 65}{space 4}-.0578419{col 78}{space 3} .1659078
{txt}{space 21}3  {c |}{col 25}{res}{space 2} .0538769{col 37}{space 2} .0570004{col 48}{space 1}    0.95{col 57}{space 3}0.345{col 65}{space 4}-.0580004{col 78}{space 3} .1657541
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0928262{col 37}{space 2} .0570539{col 48}{space 1}    1.63{col 57}{space 3}0.104{col 65}{space 4} -.019156{col 78}{space 3} .2048085
{txt}{space 21}5  {c |}{col 25}{res}{space 2} .0795842{col 37}{space 2} .0556672{col 48}{space 1}    1.43{col 57}{space 3}0.153{col 65}{space 4}-.0296763{col 78}{space 3} .1888448
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0706689{col 37}{space 2} .0555641{col 48}{space 1}    1.27{col 57}{space 3}0.204{col 65}{space 4}-.0383893{col 78}{space 3} .1797271
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0492228{col 37}{space 2}  .056085{col 48}{space 1}    0.88{col 57}{space 3}0.380{col 65}{space 4}-.0608578{col 78}{space 3} .1593034
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .0480874{col 37}{space 2} .0561967{col 48}{space 1}    0.86{col 57}{space 3}0.392{col 65}{space 4}-.0622126{col 78}{space 3} .1583873
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .5646426{col 37}{space 2} .0575724{col 48}{space 1}    9.81{col 57}{space 3}0.000{col 65}{space 4} .4516427{col 78}{space 3} .6776424
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .38874345
                {txt}sigma_e {c |} {res} .82351866
                    {txt}rho {c |} {res} .18222676{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est4{txt} stored)

{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb_neg gdpgrowth_wb_pos               finsat_gettingby         finsat_difficult       finsat_verydifficult                                                                                     $dem i. waveround if sam==1, fe cluster(countryyear) nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1011941
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      155

{txt}R-sq:  within  = {res}0.1249                         {txt}Obs per group: min = {res}      387
{txt}       between = {res}0.6068                                        {txt}avg = {res}   6528.7
{txt}       overall = {res}0.1791                                        {txt}max = {res}    34525

                                                {txt}F({res}18{txt},{res}854{txt})          = {res}   395.34
{txt}corr(u_i, Xb)  = {res}0.2300                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:855} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2} -.899491{col 37}{space 2} .2956953{col 48}{space 1}   -3.04{col 57}{space 3}0.002{col 65}{space 4}-1.479866{col 78}{space 3}-.3191162
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .2652302{col 37}{space 2} .1909858{col 48}{space 1}    1.39{col 57}{space 3}0.165{col 65}{space 4}-.1096263{col 78}{space 3} .6400866
{txt}{space 7}finsat_gettingby {c |}{col 25}{res}{space 2}-.3163562{col 37}{space 2} .0065898{col 48}{space 1}  -48.01{col 57}{space 3}0.000{col 65}{space 4}-.3292903{col 78}{space 3}-.3034221
{txt}{space 7}finsat_difficult {c |}{col 25}{res}{space 2} -.617408{col 37}{space 2} .0099911{col 48}{space 1}  -61.80{col 57}{space 3}0.000{col 65}{space 4} -.637018{col 78}{space 3} -.597798
{txt}{space 3}finsat_verydifficult {c |}{col 25}{res}{space 2}-.9149703{col 37}{space 2} .0139788{col 48}{space 1}  -65.45{col 57}{space 3}0.000{col 65}{space 4}-.9424072{col 78}{space 3}-.8875334
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0141296{col 37}{space 2} .0005532{col 48}{space 1}  -25.54{col 57}{space 3}0.000{col 65}{space 4}-.0152153{col 78}{space 3}-.0130438
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001084{col 37}{space 2} 5.35e-06{col 48}{space 1}   20.27{col 57}{space 3}0.000{col 65}{space 4} .0000979{col 78}{space 3} .0001189
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0509157{col 37}{space 2}  .003191{col 48}{space 1}  -15.96{col 57}{space 3}0.000{col 65}{space 4}-.0571789{col 78}{space 3}-.0446525
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2}  .134396{col 37}{space 2} .0057235{col 48}{space 1}   23.48{col 57}{space 3}0.000{col 65}{space 4} .1231623{col 78}{space 3} .1456298
{txt}controls_education_high {c |}{col 25}{res}{space 2} .2647598{col 37}{space 2} .0078584{col 48}{space 1}   33.69{col 57}{space 3}0.000{col 65}{space 4} .2493359{col 78}{space 3} .2801838
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0714095{col 37}{space 2}  .003933{col 48}{space 1}   18.16{col 57}{space 3}0.000{col 65}{space 4}   .06369{col 78}{space 3}  .079129
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2} .0518179{col 37}{space 2} .0570536{col 48}{space 1}    0.91{col 57}{space 3}0.364{col 65}{space 4}-.0601639{col 78}{space 3} .1637996
{txt}{space 21}3  {c |}{col 25}{res}{space 2} .0491004{col 37}{space 2} .0570967{col 48}{space 1}    0.86{col 57}{space 3}0.390{col 65}{space 4}-.0629659{col 78}{space 3} .1611667
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0907732{col 37}{space 2} .0569613{col 48}{space 1}    1.59{col 57}{space 3}0.111{col 65}{space 4}-.0210274{col 78}{space 3} .2025738
{txt}{space 21}5  {c |}{col 25}{res}{space 2} .0748648{col 37}{space 2} .0557766{col 48}{space 1}    1.34{col 57}{space 3}0.180{col 65}{space 4}-.0346105{col 78}{space 3} .1843401
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0656644{col 37}{space 2} .0556651{col 48}{space 1}    1.18{col 57}{space 3}0.238{col 65}{space 4}-.0435921{col 78}{space 3} .1749209
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .0428289{col 37}{space 2}  .056223{col 48}{space 1}    0.76{col 57}{space 3}0.446{col 65}{space 4}-.0675226{col 78}{space 3} .1531803
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .0413053{col 37}{space 2} .0563415{col 48}{space 1}    0.73{col 57}{space 3}0.464{col 65}{space 4}-.0692788{col 78}{space 3} .1518893
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .5801551{col 37}{space 2} .0585712{col 48}{space 1}    9.91{col 57}{space 3}0.000{col 65}{space 4} .4651947{col 78}{space 3} .6951154
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .38560152
                {txt}sigma_e {c |} {res} .82349239
                    {txt}rho {c |} {res} .17983001{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est5{txt} stored)

{com}. esttab using "gwp_restat_tabsom9.csv", replace b(3) se(3)  star(* 0.1 ** 0.05 *** 0.01) scalars("r2_w Within-R2 " "N_g Countries" "N_clust Country-Years")  sfmt(%12.3f %12.0f %12.0f) ///
>  noconstant label ///
> refcat(finsat_gettingby "Feelings About HH Income (v. living comfortably)" , nolabel) 
{res}{txt}(note: file gwp_restat_tabsom9.csv not found)
(output written to {browse  `"gwp_restat_tabsom9.csv"'})

{com}. 
. 
. 
. 
. 
. 
. 
. 
. 
. *** Table SOM.10 ***
. gen growth_relativetomean10 = gdpgrowth_wb - gdpgrowth_prev10ymean
{txt}(34,120 missing values generated)

{com}. mkspline gr_belowmean10 0 gr_abovemean10 = growth_relativetomean10
{txt}
{com}. replace gr_belowmean10 = abs(gr_belowmean10)
{txt}(681,840 real changes made)

{com}. lab var growth_relativetomean10 "Growth relative to 10Y mean"
{txt}
{com}. lab var gr_belowmean10 "Low Growth"
{txt}
{com}. lab var gr_abovemean10 "High Growth"
{txt}
{com}. 
. eststo clear 
{txt}
{com}. eststo: xtreg std_lifeladder    growth_relativetomean10                                  $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1166517
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      157

{txt}R-sq:  within  = {res}0.0340                         {txt}Obs per group: min = {res}      490
{txt}       between = {res}0.0524                                        {txt}avg = {res}   7430.0
{txt}       overall = {res}0.0350                                        {txt}max = {res}    36772

                                                {txt}F({res}14{txt},{res}967{txt})          = {res}   238.61
{txt}corr(u_i, Xb)  = {res}0.0359                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:968} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
growth_relativetomean10 {c |}{col 25}{res}{space 2} .3713428{col 37}{space 2}  .154761{col 48}{space 1}    2.40{col 57}{space 3}0.017{col 65}{space 4} .0676366{col 78}{space 3}  .675049
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0198636{col 37}{space 2} .0006647{col 48}{space 1}  -29.88{col 57}{space 3}0.000{col 65}{space 4}-.0211681{col 78}{space 3}-.0185592
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001604{col 37}{space 2} 6.46e-06{col 48}{space 1}   24.83{col 57}{space 3}0.000{col 65}{space 4} .0001477{col 78}{space 3} .0001731
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0386954{col 37}{space 2} .0032154{col 48}{space 1}  -12.03{col 57}{space 3}0.000{col 65}{space 4}-.0450053{col 78}{space 3}-.0323854
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1942496{col 37}{space 2} .0075943{col 48}{space 1}   25.58{col 57}{space 3}0.000{col 65}{space 4} .1793464{col 78}{space 3} .2091527
{txt}controls_education_high {c |}{col 25}{res}{space 2}  .412371{col 37}{space 2} .0105612{col 48}{space 1}   39.05{col 57}{space 3}0.000{col 65}{space 4} .3916454{col 78}{space 3} .4330966
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1041207{col 37}{space 2} .0050348{col 48}{space 1}   20.68{col 57}{space 3}0.000{col 65}{space 4} .0942403{col 78}{space 3} .1140011
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2} -.000871{col 37}{space 2} .0238752{col 48}{space 1}   -0.04{col 57}{space 3}0.971{col 65}{space 4}-.0477242{col 78}{space 3} .0459823
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0290503{col 37}{space 2} .0223958{col 48}{space 1}   -1.30{col 57}{space 3}0.195{col 65}{space 4}-.0730003{col 78}{space 3} .0148996
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0057517{col 37}{space 2} .0241598{col 48}{space 1}    0.24{col 57}{space 3}0.812{col 65}{space 4}-.0416599{col 78}{space 3} .0531634
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0049386{col 37}{space 2} .0202501{col 48}{space 1}   -0.24{col 57}{space 3}0.807{col 65}{space 4}-.0446779{col 78}{space 3} .0348007
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0006425{col 37}{space 2} .0203913{col 48}{space 1}    0.03{col 57}{space 3}0.975{col 65}{space 4}-.0393737{col 78}{space 3} .0406588
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0237361{col 37}{space 2} .0205071{col 48}{space 1}   -1.16{col 57}{space 3}0.247{col 65}{space 4}-.0639797{col 78}{space 3} .0165074
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0260415{col 37}{space 2} .0223889{col 48}{space 1}   -1.16{col 57}{space 3}0.245{col 65}{space 4} -.069978{col 78}{space 3}  .017895
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .3176496{col 37}{space 2} .0225679{col 48}{space 1}   14.08{col 57}{space 3}0.000{col 65}{space 4} .2733619{col 78}{space 3} .3619374
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .47106197
                {txt}sigma_e {c |} {res} .86601563
                    {txt}rho {c |} {res} .22831916{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est1{txt} stored)

{com}. eststo: xtreg std_lifeladder    gr_belowmean10 gr_abovemean10                            $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1166517
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      157

{txt}R-sq:  within  = {res}0.0340                         {txt}Obs per group: min = {res}      490
{txt}       between = {res}0.0716                                        {txt}avg = {res}   7430.0
{txt}       overall = {res}0.0359                                        {txt}max = {res}    36772

                                                {txt}F({res}15{txt},{res}967{txt})          = {res}   223.14
{txt}corr(u_i, Xb)  = {res}0.0426                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:968} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}gr_belowmean10 {c |}{col 25}{res}{space 2}-.5456322{col 37}{space 2} .2101018{col 48}{space 1}   -2.60{col 57}{space 3}0.010{col 65}{space 4}-.9579403{col 78}{space 3}-.1333241
{txt}{space 9}gr_abovemean10 {c |}{col 25}{res}{space 2} .1286272{col 37}{space 2} .3123738{col 48}{space 1}    0.41{col 57}{space 3}0.681{col 65}{space 4}-.4843815{col 78}{space 3}  .741636
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0198584{col 37}{space 2} .0006647{col 48}{space 1}  -29.88{col 57}{space 3}0.000{col 65}{space 4}-.0211628{col 78}{space 3} -.018554
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001604{col 37}{space 2} 6.46e-06{col 48}{space 1}   24.81{col 57}{space 3}0.000{col 65}{space 4} .0001477{col 78}{space 3} .0001731
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0386709{col 37}{space 2} .0032141{col 48}{space 1}  -12.03{col 57}{space 3}0.000{col 65}{space 4}-.0449783{col 78}{space 3}-.0323635
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1944778{col 37}{space 2} .0075913{col 48}{space 1}   25.62{col 57}{space 3}0.000{col 65}{space 4} .1795805{col 78}{space 3} .2093751
{txt}controls_education_high {c |}{col 25}{res}{space 2}  .412667{col 37}{space 2} .0105535{col 48}{space 1}   39.10{col 57}{space 3}0.000{col 65}{space 4} .3919567{col 78}{space 3} .4333774
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1040363{col 37}{space 2} .0050302{col 48}{space 1}   20.68{col 57}{space 3}0.000{col 65}{space 4}  .094165{col 78}{space 3} .1139076
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0007937{col 37}{space 2} .0238361{col 48}{space 1}   -0.03{col 57}{space 3}0.973{col 65}{space 4}-.0475702{col 78}{space 3} .0459828
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0293034{col 37}{space 2} .0223474{col 48}{space 1}   -1.31{col 57}{space 3}0.190{col 65}{space 4}-.0731583{col 78}{space 3} .0145516
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0091524{col 37}{space 2} .0242873{col 48}{space 1}    0.38{col 57}{space 3}0.706{col 65}{space 4}-.0385094{col 78}{space 3} .0568142
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0059218{col 37}{space 2} .0202707{col 48}{space 1}   -0.29{col 57}{space 3}0.770{col 65}{space 4}-.0457014{col 78}{space 3} .0338578
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0000477{col 37}{space 2} .0204832{col 48}{space 1}   -0.00{col 57}{space 3}0.998{col 65}{space 4}-.0402443{col 78}{space 3} .0401489
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0247706{col 37}{space 2} .0205917{col 48}{space 1}   -1.20{col 57}{space 3}0.229{col 65}{space 4}-.0651802{col 78}{space 3} .0156389
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0280951{col 37}{space 2} .0225532{col 48}{space 1}   -1.25{col 57}{space 3}0.213{col 65}{space 4} -.072354{col 78}{space 3} .0161638
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .3234341{col 37}{space 2} .0239162{col 48}{space 1}   13.52{col 57}{space 3}0.000{col 65}{space 4} .2765005{col 78}{space 3} .3703677
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .47004153
                {txt}sigma_e {c |} {res} .86600318
                    {txt}rho {c |} {res} .22756094{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est2{txt} stored)

{com}. esttab using "gwp_restat_tabsom10.csv", replace b(3) se(3)  star(* 0.1 ** 0.05 *** 0.01) scalars("r2_w Within-R2 " "N_g Countries" "N_clust Country-Years")  sfmt(%12.3f %12.0f %12.0f) ///
>  noconstant label 
{res}{txt}(note: file gwp_restat_tabsom10.csv not found)
(output written to {browse  `"gwp_restat_tabsom10.csv"'})

{com}. 
. 
. 
. 
. *** Table SOM.13 ***
. egen std_futureladder = std(lifesat_in5y)
{txt}(131428 missing values generated)

{com}. eststo clear
{txt}
{com}. eststo: xtreg std_futureladder    gdpgrowth_wb                                                                                                                                                   $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1074085
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      157

{txt}R-sq:  within  = {res}0.0692                         {txt}Obs per group: min = {res}      447
{txt}       between = {res}0.0423                                        {txt}avg = {res}   6841.3
{txt}       overall = {res}0.0576                                        {txt}max = {res}    34486

                                                {txt}F({res}14{txt},{res}966{txt})          = {res}   340.27
{txt}corr(u_i, Xb)  = {res}-0.0704                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:967} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       std_futureladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} 1.242312{col 37}{space 2} .2191506{col 48}{space 1}    5.67{col 57}{space 3}0.000{col 65}{space 4} .8122459{col 78}{space 3} 1.672378
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0200628{col 37}{space 2} .0008307{col 48}{space 1}  -24.15{col 57}{space 3}0.000{col 65}{space 4}-.0216931{col 78}{space 3}-.0184326
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000845{col 37}{space 2} 7.36e-06{col 48}{space 1}   11.47{col 57}{space 3}0.000{col 65}{space 4}   .00007{col 78}{space 3} .0000989
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0377903{col 37}{space 2} .0041317{col 48}{space 1}   -9.15{col 57}{space 3}0.000{col 65}{space 4}-.0458985{col 78}{space 3}-.0296821
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1956826{col 37}{space 2} .0087805{col 48}{space 1}   22.29{col 57}{space 3}0.000{col 65}{space 4} .1784516{col 78}{space 3} .2129136
{txt}controls_education_high {c |}{col 25}{res}{space 2}  .401082{col 37}{space 2} .0112646{col 48}{space 1}   35.61{col 57}{space 3}0.000{col 65}{space 4} .3789761{col 78}{space 3} .4231878
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0603424{col 37}{space 2} .0046567{col 48}{space 1}   12.96{col 57}{space 3}0.000{col 65}{space 4}  .051204{col 78}{space 3} .0694808
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0332834{col 37}{space 2} .0302795{col 48}{space 1}   -1.10{col 57}{space 3}0.272{col 65}{space 4}-.0927045{col 78}{space 3} .0261377
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0915966{col 37}{space 2} .0302609{col 48}{space 1}   -3.03{col 57}{space 3}0.003{col 65}{space 4}-.1509813{col 78}{space 3} -.032212
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0161363{col 37}{space 2} .0284337{col 48}{space 1}   -0.57{col 57}{space 3}0.571{col 65}{space 4}-.0719351{col 78}{space 3} .0396626
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0502658{col 37}{space 2} .0244706{col 48}{space 1}   -2.05{col 57}{space 3}0.040{col 65}{space 4}-.0982876{col 78}{space 3}-.0022441
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0357818{col 37}{space 2} .0249434{col 48}{space 1}   -1.43{col 57}{space 3}0.152{col 65}{space 4}-.0847314{col 78}{space 3} .0131678
{txt}{space 21}7  {c |}{col 25}{res}{space 2} -.059186{col 37}{space 2} .0257679{col 48}{space 1}   -2.30{col 57}{space 3}0.022{col 65}{space 4}-.1097534{col 78}{space 3}-.0086186
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0227296{col 37}{space 2} .0270242{col 48}{space 1}   -0.84{col 57}{space 3}0.401{col 65}{space 4}-.0757625{col 78}{space 3} .0303032
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .4648056{col 37}{space 2} .0336342{col 48}{space 1}   13.82{col 57}{space 3}0.000{col 65}{space 4}  .398801{col 78}{space 3} .5308102
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res}  .3440083
                {txt}sigma_e {c |} {res} .90954045
                    {txt}rho {c |} {res} .12514913{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est1{txt} stored)

{com}. eststo: xtreg std_futureladder    gdpgrowth_wb_neg gdpgrowth_wb_pos                                                                                                      $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1074085
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      157

{txt}R-sq:  within  = {res}0.0693                         {txt}Obs per group: min = {res}      447
{txt}       between = {res}0.0479                                        {txt}avg = {res}   6841.3
{txt}       overall = {res}0.0591                                        {txt}max = {res}    34486

                                                {txt}F({res}15{txt},{res}966{txt})          = {res}   319.20
{txt}corr(u_i, Xb)  = {res}-0.0559                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:967} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       std_futureladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-1.925361{col 37}{space 2} .4248994{col 48}{space 1}   -4.53{col 57}{space 3}0.000{col 65}{space 4}-2.759193{col 78}{space 3}-1.091529
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .9639095{col 37}{space 2} .2742773{col 48}{space 1}    3.51{col 57}{space 3}0.000{col 65}{space 4} .4256615{col 78}{space 3} 1.502157
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0200584{col 37}{space 2} .0008306{col 48}{space 1}  -24.15{col 57}{space 3}0.000{col 65}{space 4}-.0216883{col 78}{space 3}-.0184284
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000845{col 37}{space 2} 7.36e-06{col 48}{space 1}   11.48{col 57}{space 3}0.000{col 65}{space 4}   .00007{col 78}{space 3} .0000989
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0377515{col 37}{space 2}  .004133{col 48}{space 1}   -9.13{col 57}{space 3}0.000{col 65}{space 4}-.0458621{col 78}{space 3}-.0296409
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1962429{col 37}{space 2} .0087584{col 48}{space 1}   22.41{col 57}{space 3}0.000{col 65}{space 4} .1790553{col 78}{space 3} .2134305
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4017596{col 37}{space 2} .0112498{col 48}{space 1}   35.71{col 57}{space 3}0.000{col 65}{space 4} .3796827{col 78}{space 3} .4238365
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0602249{col 37}{space 2} .0046677{col 48}{space 1}   12.90{col 57}{space 3}0.000{col 65}{space 4} .0510649{col 78}{space 3} .0693848
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0330986{col 37}{space 2} .0303727{col 48}{space 1}   -1.09{col 57}{space 3}0.276{col 65}{space 4}-.0927026{col 78}{space 3} .0265055
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0944358{col 37}{space 2} .0304124{col 48}{space 1}   -3.11{col 57}{space 3}0.002{col 65}{space 4}-.1541178{col 78}{space 3}-.0347539
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0143798{col 37}{space 2} .0281428{col 48}{space 1}   -0.51{col 57}{space 3}0.609{col 65}{space 4}-.0696078{col 78}{space 3} .0408482
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0535105{col 37}{space 2} .0246716{col 48}{space 1}   -2.17{col 57}{space 3}0.030{col 65}{space 4}-.1019266{col 78}{space 3}-.0050945
{txt}{space 21}6  {c |}{col 25}{res}{space 2} -.039166{col 37}{space 2} .0252312{col 48}{space 1}   -1.55{col 57}{space 3}0.121{col 65}{space 4}-.0886804{col 78}{space 3} .0103483
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0646646{col 37}{space 2} .0262594{col 48}{space 1}   -2.46{col 57}{space 3}0.014{col 65}{space 4}-.1161966{col 78}{space 3}-.0131326
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0286872{col 37}{space 2} .0275915{col 48}{space 1}   -1.04{col 57}{space 3}0.299{col 65}{space 4}-.0828335{col 78}{space 3} .0254591
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .4823904{col 37}{space 2} .0361163{col 48}{space 1}   13.36{col 57}{space 3}0.000{col 65}{space 4}  .411515{col 78}{space 3} .5532658
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .33974689
                {txt}sigma_e {c |} {res} .90948844
                    {txt}rho {c |} {res} .12245735{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est2{txt} stored)

{com}. 
. eststo: xtreg std_futureladder    gdpgrowth_wb  loggdppc                                                                                                                                 $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1074085
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      157

{txt}R-sq:  within  = {res}0.0692                         {txt}Obs per group: min = {res}      447
{txt}       between = {res}0.1136                                        {txt}avg = {res}   6841.3
{txt}       overall = {res}0.0699                                        {txt}max = {res}    34486

                                                {txt}F({res}15{txt},{res}966{txt})          = {res}   318.15
{txt}corr(u_i, Xb)  = {res}0.0091                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:967} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       std_futureladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} 1.234672{col 37}{space 2} .2236734{col 48}{space 1}    5.52{col 57}{space 3}0.000{col 65}{space 4} .7957304{col 78}{space 3} 1.673614
{txt}{space 15}loggdppc {c |}{col 25}{res}{space 2} .0278438{col 37}{space 2} .1114295{col 48}{space 1}    0.25{col 57}{space 3}0.803{col 65}{space 4} -.190828{col 78}{space 3} .2465156
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0200505{col 37}{space 2} .0008263{col 48}{space 1}  -24.26{col 57}{space 3}0.000{col 65}{space 4}-.0216721{col 78}{space 3}-.0184288
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000844{col 37}{space 2} 7.35e-06{col 48}{space 1}   11.48{col 57}{space 3}0.000{col 65}{space 4}   .00007{col 78}{space 3} .0000988
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0377885{col 37}{space 2} .0041328{col 48}{space 1}   -9.14{col 57}{space 3}0.000{col 65}{space 4}-.0458988{col 78}{space 3}-.0296781
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1958481{col 37}{space 2} .0087086{col 48}{space 1}   22.49{col 57}{space 3}0.000{col 65}{space 4} .1787582{col 78}{space 3}  .212938
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4013751{col 37}{space 2} .0111337{col 48}{space 1}   36.05{col 57}{space 3}0.000{col 65}{space 4} .3795261{col 78}{space 3} .4232241
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0601025{col 37}{space 2}  .004625{col 48}{space 1}   13.00{col 57}{space 3}0.000{col 65}{space 4} .0510262{col 78}{space 3} .0691787
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0342715{col 37}{space 2} .0309229{col 48}{space 1}   -1.11{col 57}{space 3}0.268{col 65}{space 4}-.0949554{col 78}{space 3} .0264124
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0935723{col 37}{space 2} .0319855{col 48}{space 1}   -2.93{col 57}{space 3}0.004{col 65}{space 4}-.1563414{col 78}{space 3}-.0308033
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0183082{col 37}{space 2} .0299552{col 48}{space 1}   -0.61{col 57}{space 3}0.541{col 65}{space 4} -.077093{col 78}{space 3} .0404766
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0530429{col 37}{space 2}  .026772{col 48}{space 1}   -1.98{col 57}{space 3}0.048{col 65}{space 4}-.1055809{col 78}{space 3}-.0005049
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0393484{col 37}{space 2} .0288262{col 48}{space 1}   -1.37{col 57}{space 3}0.173{col 65}{space 4}-.0959175{col 78}{space 3} .0172207
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0635679{col 37}{space 2} .0304973{col 48}{space 1}   -2.08{col 57}{space 3}0.037{col 65}{space 4}-.1234166{col 78}{space 3}-.0037193
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0276937{col 37}{space 2} .0336049{col 48}{space 1}   -0.82{col 57}{space 3}0.410{col 65}{space 4}-.0936408{col 78}{space 3} .0382533
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .2381732{col 37}{space 2}   .90322{col 48}{space 1}    0.26{col 57}{space 3}0.792{col 65}{space 4}-1.534326{col 78}{space 3} 2.010673
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .32616517
                {txt}sigma_e {c |} {res} .90953945
                    {txt}rho {c |} {res} .11394442{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est3{txt} stored)

{com}. eststo: xtreg std_futureladder    gdpgrowth_wb_neg gdpgrowth_wb_pos     loggdppc                                                                                 $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1074085
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      157

{txt}R-sq:  within  = {res}0.0693                         {txt}Obs per group: min = {res}      447
{txt}       between = {res}0.0782                                        {txt}avg = {res}   6841.3
{txt}       overall = {res}0.0639                                        {txt}max = {res}    34486

                                                {txt}F({res}16{txt},{res}966{txt})          = {res}   299.44
{txt}corr(u_i, Xb)  = {res}-0.0230                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:967} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       std_futureladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-1.918214{col 37}{space 2} .4232326{col 48}{space 1}   -4.53{col 57}{space 3}0.000{col 65}{space 4}-2.748775{col 78}{space 3}-1.087653
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .9628665{col 37}{space 2} .2767126{col 48}{space 1}    3.48{col 57}{space 3}0.001{col 65}{space 4} .4198393{col 78}{space 3} 1.505894
{txt}{space 15}loggdppc {c |}{col 25}{res}{space 2} .0102428{col 37}{space 2}  .108999{col 48}{space 1}    0.09{col 57}{space 3}0.925{col 65}{space 4}-.2036594{col 78}{space 3} .2241449
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0200538{col 37}{space 2} .0008264{col 48}{space 1}  -24.27{col 57}{space 3}0.000{col 65}{space 4}-.0216755{col 78}{space 3}-.0184322
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000845{col 37}{space 2} 7.35e-06{col 48}{space 1}   11.49{col 57}{space 3}0.000{col 65}{space 4}   .00007{col 78}{space 3} .0000989
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0377511{col 37}{space 2} .0041336{col 48}{space 1}   -9.13{col 57}{space 3}0.000{col 65}{space 4}-.0458629{col 78}{space 3}-.0296392
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1963002{col 37}{space 2} .0086943{col 48}{space 1}   22.58{col 57}{space 3}0.000{col 65}{space 4} .1792382{col 78}{space 3} .2133622
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4018631{col 37}{space 2} .0111291{col 48}{space 1}   36.11{col 57}{space 3}0.000{col 65}{space 4}  .380023{col 78}{space 3} .4237032
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0601374{col 37}{space 2}  .004622{col 48}{space 1}   13.01{col 57}{space 3}0.000{col 65}{space 4}  .051067{col 78}{space 3} .0692077
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0334632{col 37}{space 2} .0309468{col 48}{space 1}   -1.08{col 57}{space 3}0.280{col 65}{space 4} -.094194{col 78}{space 3} .0272676
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0951446{col 37}{space 2} .0319918{col 48}{space 1}   -2.97{col 57}{space 3}0.003{col 65}{space 4}-.1579261{col 78}{space 3}-.0323631
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0151899{col 37}{space 2} .0295962{col 48}{space 1}   -0.51{col 57}{space 3}0.608{col 65}{space 4}-.0732703{col 78}{space 3} .0428904
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0545115{col 37}{space 2} .0268176{col 48}{space 1}   -2.03{col 57}{space 3}0.042{col 65}{space 4} -.107139{col 78}{space 3} -.001884
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0404566{col 37}{space 2} .0288691{col 48}{space 1}   -1.40{col 57}{space 3}0.161{col 65}{space 4}-.0971101{col 78}{space 3} .0161969
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0662418{col 37}{space 2} .0306994{col 48}{space 1}   -2.16{col 57}{space 3}0.031{col 65}{space 4} -.126487{col 78}{space 3}-.0059965
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0304755{col 37}{space 2} .0338889{col 48}{space 1}   -0.90{col 57}{space 3}0.369{col 65}{space 4}-.0969799{col 78}{space 3} .0360289
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .3989086{col 37}{space 2} .8828388{col 48}{space 1}    0.45{col 57}{space 3}0.651{col 65}{space 4}-1.333594{col 78}{space 3} 2.131412
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .33263566
                {txt}sigma_e {c |} {res} .90948867
                    {txt}rho {c |} {res} .11798313{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est4{txt} stored)

{com}. 
. eststo: xtreg std_futureladder    gdpgrowth_wb  unemployment_rate                                                                                                                $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1066230
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      156

{txt}R-sq:  within  = {res}0.0700                         {txt}Obs per group: min = {res}      447
{txt}       between = {res}0.0656                                        {txt}avg = {res}   6834.8
{txt}       overall = {res}0.0612                                        {txt}max = {res}    34486

                                                {txt}F({res}15{txt},{res}959{txt})          = {res}   317.17
{txt}corr(u_i, Xb)  = {res}-0.0917                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:960} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       std_futureladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2}  1.16223{col 37}{space 2} .2195464{col 48}{space 1}    5.29{col 57}{space 3}0.000{col 65}{space 4} .7313834{col 78}{space 3} 1.593077
{txt}{space 6}unemployment_rate {c |}{col 25}{res}{space 2}-1.475669{col 37}{space 2} .3761081{col 48}{space 1}   -3.92{col 57}{space 3}0.000{col 65}{space 4}-2.213758{col 78}{space 3}-.7375787
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0201671{col 37}{space 2} .0008331{col 48}{space 1}  -24.21{col 57}{space 3}0.000{col 65}{space 4}-.0218021{col 78}{space 3}-.0185321
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000853{col 37}{space 2} 7.39e-06{col 48}{space 1}   11.55{col 57}{space 3}0.000{col 65}{space 4} .0000708{col 78}{space 3} .0000998
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0375932{col 37}{space 2} .0041471{col 48}{space 1}   -9.07{col 57}{space 3}0.000{col 65}{space 4}-.0457315{col 78}{space 3}-.0294548
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1965365{col 37}{space 2} .0087742{col 48}{space 1}   22.40{col 57}{space 3}0.000{col 65}{space 4} .1793176{col 78}{space 3} .2137554
{txt}controls_education_high {c |}{col 25}{res}{space 2}  .402452{col 37}{space 2} .0112692{col 48}{space 1}   35.71{col 57}{space 3}0.000{col 65}{space 4} .3803368{col 78}{space 3} .4245671
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0607976{col 37}{space 2} .0047064{col 48}{space 1}   12.92{col 57}{space 3}0.000{col 65}{space 4} .0515615{col 78}{space 3} .0700337
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0405719{col 37}{space 2} .0304727{col 48}{space 1}   -1.33{col 57}{space 3}0.183{col 65}{space 4}-.1003727{col 78}{space 3} .0192289
{txt}{space 21}3  {c |}{col 25}{res}{space 2} -.101823{col 37}{space 2} .0303837{col 48}{space 1}   -3.35{col 57}{space 3}0.001{col 65}{space 4}-.1614493{col 78}{space 3}-.0421967
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0185256{col 37}{space 2} .0283403{col 48}{space 1}   -0.65{col 57}{space 3}0.513{col 65}{space 4}-.0741418{col 78}{space 3} .0370905
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0474893{col 37}{space 2} .0246538{col 48}{space 1}   -1.93{col 57}{space 3}0.054{col 65}{space 4}-.0958708{col 78}{space 3} .0008923
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0313561{col 37}{space 2} .0249427{col 48}{space 1}   -1.26{col 57}{space 3}0.209{col 65}{space 4}-.0803047{col 78}{space 3} .0175926
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0593321{col 37}{space 2} .0257533{col 48}{space 1}   -2.30{col 57}{space 3}0.021{col 65}{space 4}-.1098715{col 78}{space 3}-.0087927
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0233058{col 37}{space 2} .0267217{col 48}{space 1}   -0.87{col 57}{space 3}0.383{col 65}{space 4}-.0757456{col 78}{space 3}  .029134
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .5937163{col 37}{space 2} .0473855{col 48}{space 1}   12.53{col 57}{space 3}0.000{col 65}{space 4} .5007251{col 78}{space 3} .6867076
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .34126692
                {txt}sigma_e {c |} {res} .90921617
                    {txt}rho {c |} {res} .12348481{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est5{txt} stored)

{com}. eststo: xtreg std_futureladder    gdpgrowth_wb_neg gdpgrowth_wb_pos     unemployment_rate                                                                $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1066230
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      156

{txt}R-sq:  within  = {res}0.0701                         {txt}Obs per group: min = {res}      447
{txt}       between = {res}0.0691                                        {txt}avg = {res}   6834.8
{txt}       overall = {res}0.0625                                        {txt}max = {res}    34486

                                                {txt}F({res}16{txt},{res}959{txt})          = {res}   298.77
{txt}corr(u_i, Xb)  = {res}-0.0779                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:960} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       std_futureladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-1.712516{col 37}{space 2} .4357798{col 48}{space 1}   -3.93{col 57}{space 3}0.000{col 65}{space 4}-2.567708{col 78}{space 3}-.8573237
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2}  .941644{col 37}{space 2} .2730635{col 48}{space 1}    3.45{col 57}{space 3}0.001{col 65}{space 4}  .405773{col 78}{space 3} 1.477515
{txt}{space 6}unemployment_rate {c |}{col 25}{res}{space 2}-1.423418{col 37}{space 2} .3748835{col 48}{space 1}   -3.80{col 57}{space 3}0.000{col 65}{space 4}-2.159104{col 78}{space 3}-.6877312
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0201652{col 37}{space 2}  .000833{col 48}{space 1}  -24.21{col 57}{space 3}0.000{col 65}{space 4}   -.0218{col 78}{space 3}-.0185304
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000853{col 37}{space 2} 7.39e-06{col 48}{space 1}   11.55{col 57}{space 3}0.000{col 65}{space 4} .0000708{col 78}{space 3} .0000998
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0375632{col 37}{space 2}  .004148{col 48}{space 1}   -9.06{col 57}{space 3}0.000{col 65}{space 4}-.0457033{col 78}{space 3} -.029423
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2}  .196949{col 37}{space 2} .0087591{col 48}{space 1}   22.48{col 57}{space 3}0.000{col 65}{space 4} .1797597{col 78}{space 3} .2141382
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4029493{col 37}{space 2}  .011258{col 48}{space 1}   35.79{col 57}{space 3}0.000{col 65}{space 4} .3808562{col 78}{space 3} .4250424
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0607092{col 37}{space 2} .0047142{col 48}{space 1}   12.88{col 57}{space 3}0.000{col 65}{space 4} .0514579{col 78}{space 3} .0699605
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0401628{col 37}{space 2} .0305458{col 48}{space 1}   -1.31{col 57}{space 3}0.189{col 65}{space 4}-.1001071{col 78}{space 3} .0197815
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.1038576{col 37}{space 2} .0305149{col 48}{space 1}   -3.40{col 57}{space 3}0.001{col 65}{space 4}-.1637413{col 78}{space 3} -.043974
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0169956{col 37}{space 2} .0281014{col 48}{space 1}   -0.60{col 57}{space 3}0.545{col 65}{space 4}-.0721429{col 78}{space 3} .0381516
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0501409{col 37}{space 2} .0248533{col 48}{space 1}   -2.02{col 57}{space 3}0.044{col 65}{space 4}-.0989141{col 78}{space 3}-.0013677
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0341154{col 37}{space 2} .0252159{col 48}{space 1}   -1.35{col 57}{space 3}0.176{col 65}{space 4}-.0836001{col 78}{space 3} .0153694
{txt}{space 21}7  {c |}{col 25}{res}{space 2} -.063716{col 37}{space 2} .0262085{col 48}{space 1}   -2.43{col 57}{space 3}0.015{col 65}{space 4}-.1151487{col 78}{space 3}-.0122833
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0281696{col 37}{space 2} .0272408{col 48}{space 1}   -1.03{col 57}{space 3}0.301{col 65}{space 4}-.0816281{col 78}{space 3}  .025289
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .6033858{col 37}{space 2} .0484397{col 48}{space 1}   12.46{col 57}{space 3}0.000{col 65}{space 4} .5083257{col 78}{space 3}  .698446
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .33824099
                {txt}sigma_e {c |} {res} .90918297
                    {txt}rho {c |} {res} .12157754{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est6{txt} stored)

{com}. 
. eststo: xtreg std_futureladder    gdpgrowth_wb  inflation_rate                                                                                                                   $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1066725
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      156

{txt}R-sq:  within  = {res}0.0697                         {txt}Obs per group: min = {res}      447
{txt}       between = {res}0.0486                                        {txt}avg = {res}   6838.0
{txt}       overall = {res}0.0603                                        {txt}max = {res}    34486

                                                {txt}F({res}15{txt},{res}961{txt})          = {res}   314.78
{txt}corr(u_i, Xb)  = {res}-0.0517                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:962} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       std_futureladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} 1.196536{col 37}{space 2}  .256908{col 48}{space 1}    4.66{col 57}{space 3}0.000{col 65}{space 4} .6923704{col 78}{space 3} 1.700701
{txt}{space 9}inflation_rate {c |}{col 25}{res}{space 2} -.271035{col 37}{space 2} .2533626{col 48}{space 1}   -1.07{col 57}{space 3}0.285{col 65}{space 4}-.7682428{col 78}{space 3} .2261727
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0200111{col 37}{space 2} .0008348{col 48}{space 1}  -23.97{col 57}{space 3}0.000{col 65}{space 4}-.0216493{col 78}{space 3}-.0183729
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000839{col 37}{space 2} 7.39e-06{col 48}{space 1}   11.35{col 57}{space 3}0.000{col 65}{space 4} .0000694{col 78}{space 3} .0000984
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0368583{col 37}{space 2} .0041271{col 48}{space 1}   -8.93{col 57}{space 3}0.000{col 65}{space 4}-.0449574{col 78}{space 3}-.0287592
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1959599{col 37}{space 2} .0088055{col 48}{space 1}   22.25{col 57}{space 3}0.000{col 65}{space 4} .1786797{col 78}{space 3} .2132402
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4011437{col 37}{space 2} .0113146{col 48}{space 1}   35.45{col 57}{space 3}0.000{col 65}{space 4} .3789395{col 78}{space 3} .4233479
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0603539{col 37}{space 2}   .00467{col 48}{space 1}   12.92{col 57}{space 3}0.000{col 65}{space 4} .0511893{col 78}{space 3} .0695185
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0365147{col 37}{space 2} .0297588{col 48}{space 1}   -1.23{col 57}{space 3}0.220{col 65}{space 4}-.0949143{col 78}{space 3} .0218849
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0773091{col 37}{space 2} .0313306{col 48}{space 1}   -2.47{col 57}{space 3}0.014{col 65}{space 4}-.1387935{col 78}{space 3}-.0158248
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0228551{col 37}{space 2} .0301927{col 48}{space 1}   -0.76{col 57}{space 3}0.449{col 65}{space 4}-.0821063{col 78}{space 3}  .036396
{txt}{space 21}5  {c |}{col 25}{res}{space 2} -.055719{col 37}{space 2} .0243501{col 48}{space 1}   -2.29{col 57}{space 3}0.022{col 65}{space 4}-.1035046{col 78}{space 3}-.0079334
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0337493{col 37}{space 2} .0246153{col 48}{space 1}   -1.37{col 57}{space 3}0.171{col 65}{space 4}-.0820552{col 78}{space 3} .0145566
{txt}{space 21}7  {c |}{col 25}{res}{space 2} -.058826{col 37}{space 2} .0257043{col 48}{space 1}   -2.29{col 57}{space 3}0.022{col 65}{space 4}-.1092691{col 78}{space 3}-.0083828
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0280185{col 37}{space 2} .0275186{col 48}{space 1}   -1.02{col 57}{space 3}0.309{col 65}{space 4} -.082022{col 78}{space 3} .0259849
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .4846494{col 37}{space 2} .0408353{col 48}{space 1}   11.87{col 57}{space 3}0.000{col 65}{space 4} .4045127{col 78}{space 3} .5647861
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .34232841
                {txt}sigma_e {c |} {res} .90881009
                    {txt}rho {c |} {res} .12425585{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est7{txt} stored)

{com}. eststo: xtreg std_futureladder    gdpgrowth_wb_neg gdpgrowth_wb_pos     inflation_rate                                                                   $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1066725
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      156

{txt}R-sq:  within  = {res}0.0697                         {txt}Obs per group: min = {res}      447
{txt}       between = {res}0.0520                                        {txt}avg = {res}   6838.0
{txt}       overall = {res}0.0610                                        {txt}max = {res}    34486

                                                {txt}F({res}16{txt},{res}961{txt})          = {res}   296.03
{txt}corr(u_i, Xb)  = {res}-0.0451                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:962} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       std_futureladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-1.578117{col 37}{space 2} .5086169{col 48}{space 1}   -3.10{col 57}{space 3}0.002{col 65}{space 4}-2.576244{col 78}{space 3}-.5799887
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} 1.050039{col 37}{space 2} .2807165{col 48}{space 1}    3.74{col 57}{space 3}0.000{col 65}{space 4} .4991505{col 78}{space 3} 1.600927
{txt}{space 9}inflation_rate {c |}{col 25}{res}{space 2}-.2482873{col 37}{space 2} .2614479{col 48}{space 1}   -0.95{col 57}{space 3}0.343{col 65}{space 4} -.761362{col 78}{space 3} .2647874
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0200082{col 37}{space 2} .0008348{col 48}{space 1}  -23.97{col 57}{space 3}0.000{col 65}{space 4}-.0216464{col 78}{space 3}-.0183701
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000839{col 37}{space 2} 7.39e-06{col 48}{space 1}   11.35{col 57}{space 3}0.000{col 65}{space 4} .0000694{col 78}{space 3} .0000983
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0368417{col 37}{space 2} .0041279{col 48}{space 1}   -8.93{col 57}{space 3}0.000{col 65}{space 4}-.0449425{col 78}{space 3} -.028741
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1962753{col 37}{space 2} .0087757{col 48}{space 1}   22.37{col 57}{space 3}0.000{col 65}{space 4} .1790535{col 78}{space 3} .2134972
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4015198{col 37}{space 2} .0112911{col 48}{space 1}   35.56{col 57}{space 3}0.000{col 65}{space 4} .3793617{col 78}{space 3}  .423678
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0602838{col 37}{space 2} .0046783{col 48}{space 1}   12.89{col 57}{space 3}0.000{col 65}{space 4} .0511028{col 78}{space 3} .0694647
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2} -.036156{col 37}{space 2} .0297078{col 48}{space 1}   -1.22{col 57}{space 3}0.224{col 65}{space 4}-.0944556{col 78}{space 3} .0221436
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0800009{col 37}{space 2} .0320196{col 48}{space 1}   -2.50{col 57}{space 3}0.013{col 65}{space 4}-.1428372{col 78}{space 3}-.0171645
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0212449{col 37}{space 2} .0302088{col 48}{space 1}   -0.70{col 57}{space 3}0.482{col 65}{space 4}-.0805276{col 78}{space 3} .0380378
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0569854{col 37}{space 2} .0244597{col 48}{space 1}   -2.33{col 57}{space 3}0.020{col 65}{space 4} -.104986{col 78}{space 3}-.0089848
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0355825{col 37}{space 2} .0249784{col 48}{space 1}   -1.42{col 57}{space 3}0.155{col 65}{space 4}-.0846011{col 78}{space 3} .0134361
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0616725{col 37}{space 2} .0260832{col 48}{space 1}   -2.36{col 57}{space 3}0.018{col 65}{space 4}-.1128592{col 78}{space 3}-.0104858
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0308163{col 37}{space 2} .0277263{col 48}{space 1}   -1.11{col 57}{space 3}0.267{col 65}{space 4}-.0852273{col 78}{space 3} .0235948
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .4924967{col 37}{space 2} .0405827{col 48}{space 1}   12.14{col 57}{space 3}0.000{col 65}{space 4} .4128558{col 78}{space 3} .5721377
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .34014074
                {txt}sigma_e {c |} {res} .90879583
                    {txt}rho {c |} {res} .12287069{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est8{txt} stored)

{com}. 
. eststo: xtreg std_futureladder    gdpgrowth_wb  loggdppc inflation_rate unemployment_rate                                                                $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1058870
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      155

{txt}R-sq:  within  = {res}0.0706                         {txt}Obs per group: min = {res}      447
{txt}       between = {res}0.0229                                        {txt}avg = {res}   6831.4
{txt}       overall = {res}0.0108                                        {txt}max = {res}    34486

                                                {txt}F({res}17{txt},{res}954{txt})          = {res}   276.31
{txt}corr(u_i, Xb)  = {res}-0.5680                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:955} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       std_futureladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} 1.134924{col 37}{space 2} .2642427{col 48}{space 1}    4.30{col 57}{space 3}0.000{col 65}{space 4} .6163604{col 78}{space 3} 1.653489
{txt}{space 15}loggdppc {c |}{col 25}{res}{space 2}-.1456971{col 37}{space 2} .1127367{col 48}{space 1}   -1.29{col 57}{space 3}0.197{col 65}{space 4}-.3669377{col 78}{space 3} .0755435
{txt}{space 9}inflation_rate {c |}{col 25}{res}{space 2}-.2877081{col 37}{space 2} .2554203{col 48}{space 1}   -1.13{col 57}{space 3}0.260{col 65}{space 4}-.7889586{col 78}{space 3} .2135424
{txt}{space 6}unemployment_rate {c |}{col 25}{res}{space 2}-1.769935{col 37}{space 2} .4286031{col 48}{space 1}   -4.13{col 57}{space 3}0.000{col 65}{space 4}-2.611049{col 78}{space 3}-.9288212
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0201703{col 37}{space 2} .0008346{col 48}{space 1}  -24.17{col 57}{space 3}0.000{col 65}{space 4}-.0218082{col 78}{space 3}-.0185323
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000851{col 37}{space 2} 7.43e-06{col 48}{space 1}   11.46{col 57}{space 3}0.000{col 65}{space 4} .0000705{col 78}{space 3} .0000997
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2} -.036664{col 37}{space 2} .0041393{col 48}{space 1}   -8.86{col 57}{space 3}0.000{col 65}{space 4}-.0447871{col 78}{space 3}-.0285409
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1963216{col 37}{space 2} .0087258{col 48}{space 1}   22.50{col 57}{space 3}0.000{col 65}{space 4} .1791976{col 78}{space 3} .2134455
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4014015{col 37}{space 2} .0111805{col 48}{space 1}   35.90{col 57}{space 3}0.000{col 65}{space 4} .3794603{col 78}{space 3} .4233426
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0620422{col 37}{space 2} .0045997{col 48}{space 1}   13.49{col 57}{space 3}0.000{col 65}{space 4} .0530156{col 78}{space 3} .0710689
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0404334{col 37}{space 2} .0298447{col 48}{space 1}   -1.35{col 57}{space 3}0.176{col 65}{space 4}-.0990023{col 78}{space 3} .0181355
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0780134{col 37}{space 2} .0320051{col 48}{space 1}   -2.44{col 57}{space 3}0.015{col 65}{space 4}-.1408219{col 78}{space 3}-.0152049
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0150535{col 37}{space 2} .0315805{col 48}{space 1}   -0.48{col 57}{space 3}0.634{col 65}{space 4}-.0770288{col 78}{space 3} .0469217
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0384698{col 37}{space 2} .0263908{col 48}{space 1}   -1.46{col 57}{space 3}0.145{col 65}{space 4}-.0902605{col 78}{space 3} .0133209
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0099195{col 37}{space 2} .0280855{col 48}{space 1}   -0.35{col 57}{space 3}0.724{col 65}{space 4} -.065036{col 78}{space 3}  .045197
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0362932{col 37}{space 2} .0297832{col 48}{space 1}   -1.22{col 57}{space 3}0.223{col 65}{space 4}-.0947414{col 78}{space 3}  .022155
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0024618{col 37}{space 2} .0330861{col 48}{space 1}   -0.07{col 57}{space 3}0.941{col 65}{space 4}-.0673918{col 78}{space 3} .0624681
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} 1.826192{col 37}{space 2} .9300417{col 48}{space 1}    1.96{col 57}{space 3}0.050{col 65}{space 4} .0010279{col 78}{space 3} 3.651356
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .49220177
                {txt}sigma_e {c |} {res} .90842834
                    {txt}rho {c |} {res} .22694288{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est9{txt} stored)

{com}. eststo: xtreg std_futureladder    gdpgrowth_wb_neg gdpgrowth_wb_pos     loggdppc unemployment_rate inflation_rate                $dem i. waveround, fe cluster(countryyear)  nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1058870
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      155

{txt}R-sq:  within  = {res}0.0706                         {txt}Obs per group: min = {res}      447
{txt}       between = {res}0.0263                                        {txt}avg = {res}   6831.4
{txt}       overall = {res}0.0100                                        {txt}max = {res}    34486

                                                {txt}F({res}18{txt},{res}954{txt})          = {res}   261.49
{txt}corr(u_i, Xb)  = {res}-0.5779                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:955} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}       std_futureladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-1.398877{col 37}{space 2} .5251912{col 48}{space 1}   -2.66{col 57}{space 3}0.008{col 65}{space 4} -2.42954{col 78}{space 3}-.3682133
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} 1.036683{col 37}{space 2}  .282066{col 48}{space 1}    3.68{col 57}{space 3}0.000{col 65}{space 4} .4831412{col 78}{space 3} 1.590224
{txt}{space 15}loggdppc {c |}{col 25}{res}{space 2}  -.15053{col 37}{space 2} .1120684{col 48}{space 1}   -1.34{col 57}{space 3}0.180{col 65}{space 4} -.370459{col 78}{space 3}  .069399
{txt}{space 6}unemployment_rate {c |}{col 25}{res}{space 2}-1.751998{col 37}{space 2} .4298809{col 48}{space 1}   -4.08{col 57}{space 3}0.000{col 65}{space 4}-2.595619{col 78}{space 3}-.9083765
{txt}{space 9}inflation_rate {c |}{col 25}{res}{space 2}-.2719862{col 37}{space 2} .2650984{col 48}{space 1}   -1.03{col 57}{space 3}0.305{col 65}{space 4}-.7922296{col 78}{space 3} .2482571
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0201711{col 37}{space 2} .0008347{col 48}{space 1}  -24.17{col 57}{space 3}0.000{col 65}{space 4} -.021809{col 78}{space 3}-.0185331
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0000851{col 37}{space 2} 7.43e-06{col 48}{space 1}   11.46{col 57}{space 3}0.000{col 65}{space 4} .0000706{col 78}{space 3} .0000997
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0366528{col 37}{space 2}  .004139{col 48}{space 1}   -8.86{col 57}{space 3}0.000{col 65}{space 4}-.0447755{col 78}{space 3}-.0285301
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1964959{col 37}{space 2} .0087071{col 48}{space 1}   22.57{col 57}{space 3}0.000{col 65}{space 4} .1794086{col 78}{space 3} .2135831
{txt}controls_education_high {c |}{col 25}{res}{space 2}  .401592{col 37}{space 2} .0111679{col 48}{space 1}   35.96{col 57}{space 3}0.000{col 65}{space 4} .3796755{col 78}{space 3} .4235085
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .0620377{col 37}{space 2} .0045999{col 48}{space 1}   13.49{col 57}{space 3}0.000{col 65}{space 4} .0530106{col 78}{space 3} .0710648
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}-.0399233{col 37}{space 2} .0296957{col 48}{space 1}   -1.34{col 57}{space 3}0.179{col 65}{space 4}-.0981998{col 78}{space 3} .0183532
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0794396{col 37}{space 2} .0325276{col 48}{space 1}   -2.44{col 57}{space 3}0.015{col 65}{space 4}-.1432734{col 78}{space 3}-.0156057
{txt}{space 21}4  {c |}{col 25}{res}{space 2}-.0135227{col 37}{space 2} .0316906{col 48}{space 1}   -0.43{col 57}{space 3}0.670{col 65}{space 4}-.0757142{col 78}{space 3} .0486687
{txt}{space 21}5  {c |}{col 25}{res}{space 2}-.0388725{col 37}{space 2}  .026439{col 48}{space 1}   -1.47{col 57}{space 3}0.142{col 65}{space 4}-.0907579{col 78}{space 3} .0130129
{txt}{space 21}6  {c |}{col 25}{res}{space 2}-.0105784{col 37}{space 2} .0282668{col 48}{space 1}   -0.37{col 57}{space 3}0.708{col 65}{space 4}-.0660506{col 78}{space 3} .0448939
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0374854{col 37}{space 2} .0299975{col 48}{space 1}   -1.25{col 57}{space 3}0.212{col 65}{space 4} -.096354{col 78}{space 3} .0213833
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0035513{col 37}{space 2} .0331947{col 48}{space 1}   -0.11{col 57}{space 3}0.915{col 65}{space 4}-.0686943{col 78}{space 3} .0615917
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} 1.869464{col 37}{space 2} .9240155{col 48}{space 1}    2.02{col 57}{space 3}0.043{col 65}{space 4} .0561265{col 78}{space 3} 3.682802
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .49732722
                {txt}sigma_e {c |} {res} .90842193
                    {txt}rho {c |} {res} .23060087{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est10{txt} stored)

{com}. esttab using "gwp_restat_tabsom13.csv", replace b(3) se(3) r2(3) star(* 0.1 ** 0.05 *** 0.01) scalars("r2_w Within-R2 " "N_g Countries" "N_clust Country-Years")  sfmt(%12.3f %12.0f %12.0f) ///
>  noconstant label order(gdpgrowth_wb gdpgrowth_wb_neg gdpgrowth_wb_pos  loggdppc unemployment_rate inflation_rate)
{res}{txt}(note: file gwp_restat_tabsom13.csv not found)
(output written to {browse  `"gwp_restat_tabsom13.csv"'})

{com}. 
. 
. 
. *** Table SOM.16 ***
. collapse gdpgrowth_wb std_lifeladder,  by(code year)
{txt}
{com}. drop if std_lifeladder==.
{txt}(12,408 observations deleted)

{com}. xtile growth_pctile = gdpgrowth_wb, nq(100)
{txt}
{com}. save "growth_pctile.dta", replace
{txt}file growth_pctile.dta saved

{com}. use "gwp_restat.dta", clear
{txt}
{com}. merge m:1 code year using "growth_pctile"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}          21,445
{txt}{col 9}from master{col 30}{res}          21,445{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}       1,211,384{txt}  (_merge==3)
{col 5}{hline 41}

{com}. drop _merge
{txt}
{com}. gen exclude = (growth_pctile==1 | growth_pctile==100)
{txt}
{com}. eststo clear
{txt}
{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb                                                                                                                                                              $dem i. waveround if exclude==0, fe cluster(countryyear) nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1145958
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      156

{txt}R-sq:  within  = {res}0.0342                         {txt}Obs per group: min = {res}      490
{txt}       between = {res}0.0289                                        {txt}avg = {res}   7345.9
{txt}       overall = {res}0.0306                                        {txt}max = {res}    36772

                                                {txt}F({res}14{txt},{res}948{txt})          = {res}   236.09
{txt}corr(u_i, Xb)  = {res}0.0083                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:949} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}gdpgrowth_wb {c |}{col 25}{res}{space 2} .5013927{col 37}{space 2} .1928909{col 48}{space 1}    2.60{col 57}{space 3}0.009{col 65}{space 4} .1228501{col 78}{space 3} .8799353
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0199023{col 37}{space 2} .0006707{col 48}{space 1}  -29.67{col 57}{space 3}0.000{col 65}{space 4}-.0212186{col 78}{space 3} -.018586
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001609{col 37}{space 2} 6.52e-06{col 48}{space 1}   24.68{col 57}{space 3}0.000{col 65}{space 4} .0001481{col 78}{space 3} .0001737
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2}-.0377731{col 37}{space 2} .0031643{col 48}{space 1}  -11.94{col 57}{space 3}0.000{col 65}{space 4}-.0439829{col 78}{space 3}-.0315633
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2}  .196214{col 37}{space 2} .0076024{col 48}{space 1}   25.81{col 57}{space 3}0.000{col 65}{space 4} .1812946{col 78}{space 3} .2111335
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4143649{col 37}{space 2} .0106722{col 48}{space 1}   38.83{col 57}{space 3}0.000{col 65}{space 4}  .393421{col 78}{space 3} .4353088
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1050874{col 37}{space 2} .0050643{col 48}{space 1}   20.75{col 57}{space 3}0.000{col 65}{space 4} .0951488{col 78}{space 3}  .115026
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2} .0016961{col 37}{space 2} .0240603{col 48}{space 1}    0.07{col 57}{space 3}0.944{col 65}{space 4}-.0455216{col 78}{space 3} .0489137
{txt}{space 21}3  {c |}{col 25}{res}{space 2} -.022487{col 37}{space 2} .0223759{col 48}{space 1}   -1.00{col 57}{space 3}0.315{col 65}{space 4} -.066399{col 78}{space 3} .0214251
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0097616{col 37}{space 2} .0247823{col 48}{space 1}    0.39{col 57}{space 3}0.694{col 65}{space 4}-.0388729{col 78}{space 3} .0583962
{txt}{space 21}5  {c |}{col 25}{res}{space 2} -.005721{col 37}{space 2} .0204276{col 48}{space 1}   -0.28{col 57}{space 3}0.779{col 65}{space 4}-.0458095{col 78}{space 3} .0343674
{txt}{space 21}6  {c |}{col 25}{res}{space 2}  .004457{col 37}{space 2}  .020388{col 48}{space 1}    0.22{col 57}{space 3}0.827{col 65}{space 4}-.0355539{col 78}{space 3} .0444679
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0220661{col 37}{space 2} .0205623{col 48}{space 1}   -1.07{col 57}{space 3}0.283{col 65}{space 4} -.062419{col 78}{space 3} .0182869
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0244329{col 37}{space 2} .0223516{col 48}{space 1}   -1.09{col 57}{space 3}0.275{col 65}{space 4}-.0682971{col 78}{space 3} .0194314
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .2978143{col 37}{space 2} .0258024{col 48}{space 1}   11.54{col 57}{space 3}0.000{col 65}{space 4}  .247178{col 78}{space 3} .3484507
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} .47508015
                {txt}sigma_e {c |} {res} .86550535
                    {txt}rho {c |} {res}  .2315357{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est1{txt} stored)

{com}. eststo: xtreg std_lifeladder    gdpgrowth_wb_neg gdpgrowth_wb_pos                                                                                                                 $dem i. waveround if exclude==0, fe cluster(countryyear) nonest

{txt}Fixed-effects (within) regression               Number of obs      = {res}  1145958
{txt}Group variable: {res}co                              {txt}Number of groups   = {res}      156

{txt}R-sq:  within  = {res}0.0343                         {txt}Obs per group: min = {res}      490
{txt}       between = {res}0.0369                                        {txt}avg = {res}   7345.9
{txt}       overall = {res}0.0318                                        {txt}max = {res}    36772

                                                {txt}F({res}15{txt},{res}948{txt})          = {res}   220.24
{txt}corr(u_i, Xb)  = {res}0.0153                         {txt}Prob > F           =    {res}0.0000

{txt}{ralign 89:(Std. Err. adjusted for {res:949} clusters in countryyear)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}         std_lifeladder{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}gdpgrowth_wb_neg {c |}{col 25}{res}{space 2}-1.235043{col 37}{space 2} .4732509{col 48}{space 1}   -2.61{col 57}{space 3}0.009{col 65}{space 4}-2.163783{col 78}{space 3}-.3063025
{txt}{space 7}gdpgrowth_wb_pos {c |}{col 25}{res}{space 2} .3200557{col 37}{space 2} .2330044{col 48}{space 1}    1.37{col 57}{space 3}0.170{col 65}{space 4}-.1372084{col 78}{space 3} .7773198
{txt}{space 11}controls_age {c |}{col 25}{res}{space 2}-.0199008{col 37}{space 2} .0006704{col 48}{space 1}  -29.69{col 57}{space 3}0.000{col 65}{space 4}-.0212163{col 78}{space 3}-.0185852
{txt}{space 8}controls_age_sq {c |}{col 25}{res}{space 2} .0001609{col 37}{space 2} 6.51e-06{col 48}{space 1}   24.70{col 57}{space 3}0.000{col 65}{space 4} .0001481{col 78}{space 3} .0001737
{txt}{space 10}controls_male {c |}{col 25}{res}{space 2} -.037739{col 37}{space 2} .0031672{col 48}{space 1}  -11.92{col 57}{space 3}0.000{col 65}{space 4}-.0439545{col 78}{space 3}-.0315235
{txt}{space 1}controls_education_med {c |}{col 25}{res}{space 2} .1965632{col 37}{space 2} .0075782{col 48}{space 1}   25.94{col 57}{space 3}0.000{col 65}{space 4} .1816911{col 78}{space 3} .2114353
{txt}controls_education_high {c |}{col 25}{res}{space 2} .4147092{col 37}{space 2} .0106505{col 48}{space 1}   38.94{col 57}{space 3}0.000{col 65}{space 4} .3938079{col 78}{space 3} .4356105
{txt}{space 7}controls_married {c |}{col 25}{res}{space 2} .1050143{col 37}{space 2} .0050588{col 48}{space 1}   20.76{col 57}{space 3}0.000{col 65}{space 4} .0950867{col 78}{space 3}  .114942
{txt}{space 23} {c |}
{space 14}waveround {c |}
{space 21}2  {c |}{col 25}{res}{space 2}  .002039{col 37}{space 2} .0240255{col 48}{space 1}    0.08{col 57}{space 3}0.932{col 65}{space 4}-.0451103{col 78}{space 3} .0491883
{txt}{space 21}3  {c |}{col 25}{res}{space 2}-.0238566{col 37}{space 2} .0223483{col 48}{space 1}   -1.07{col 57}{space 3}0.286{col 65}{space 4}-.0677143{col 78}{space 3} .0200012
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .0135741{col 37}{space 2} .0250593{col 48}{space 1}    0.54{col 57}{space 3}0.588{col 65}{space 4} -.035604{col 78}{space 3} .0627523
{txt}{space 21}5  {c |}{col 25}{res}{space 2} -.007384{col 37}{space 2} .0204572{col 48}{space 1}   -0.36{col 57}{space 3}0.718{col 65}{space 4}-.0475305{col 78}{space 3} .0327626
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .0019253{col 37}{space 2} .0204525{col 48}{space 1}    0.09{col 57}{space 3}0.925{col 65}{space 4} -.038212{col 78}{space 3} .0420627
{txt}{space 21}7  {c |}{col 25}{res}{space 2}-.0250527{col 37}{space 2} .0206247{col 48}{space 1}   -1.21{col 57}{space 3}0.225{col 65}{space 4} -.065528{col 78}{space 3} .0154225
{txt}{space 21}8  {c |}{col 25}{res}{space 2}-.0274022{col 37}{space 2} .0224751{col 48}{space 1}   -1.22{col 57}{space 3}0.223{col 65}{space 4}-.0715088{col 78}{space 3} .0167045
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2} .3087793{col 37}{space 2} .0276019{col 48}{space 1}   11.19{col 57}{space 3}0.000{col 65}{space 4} .2546115{col 78}{space 3} .3629471
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res}  .4739791
                {txt}sigma_e {c |} {res} .86548258
                    {txt}rho {c |} {res} .23072038{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}
({res}est2{txt} stored)

{com}. esttab using "gwp_restat_tabsom16.csv", replace b(3) se(3) r2(3) star(* 0.1 ** 0.05 *** 0.01)  scalars("r2_w Within-R2 " "N_g Countries" "N_clust Country-Years")  sfmt(%12.3f %12.0f %12.0f) ///
>   noconstant label 
{res}{txt}(note: file gwp_restat_tabsom16.csv not found)
(output written to {browse  `"gwp_restat_tabsom16.csv"'})

{com}. 
. 
. cap log close
{smcl}
{com}{sf}{ul off}